Issue 
EPJ Appl. Metamat.
Volume 4, 2017



Article Number  11  
Number of page(s)  13  
DOI  https://doi.org/10.1051/epjam/2017009  
Published online  05 December 2017 
https://doi.org/10.1051/epjam/2017009
Research Article
Negative inductance circuits for metamaterial bandwidth enhancement
^{1}
GeePs, UMR CNRS 8507, CentraleSupélec, Université ParisSaclay,
91192
GifSurYvette, France
^{2}
ONERA – The French Aerospace Lab,
91120
Palaiseau, France
^{3}
SONDRA, CentraleSupélec, Université ParisSaclay,
91192
GifSurYvette, France
^{*} email: fabrice.boust@onera.fr
Received:
3
June
2017
Received in final form:
19
October
2017
Accepted:
27
October
2017
Published online: 5 December 2017
Passive metamaterials have yet to be translated into applications on a large scale due in large part to their limited bandwidth. To overcome this limitation many authors have suggested coupling metamaterials to nonFoster circuits. However, up to now, the number of convincing demonstrations based on nonFoster metamaterials has been very limited. This paper intends to clarify why progress has been so slow, i.e., the fundamental difficulty in making a truly broadband and efficient nonFoster metamaterial. To this end, we consider two families of metamaterials, namely Artificial Magnetic Media and Artificial Magnetic Conductors. In both cases, it turns out that bandwidth enhancement requires negative inductance with almost zero resistance. To estimate bandwidth enhancement with actual nonFoster circuits, we consider two classes of such circuits, namely Linvill and gyrator. The issue of stability being critical, both metamaterial families are studied with equivalent circuits that include advanced models of these nonFoster circuits. Conclusions are different for Artificial Magnetic Media coupled to Linvill circuits and Artificial Magnetic Conductors coupled to gyrator circuits. In the first case, requirements for bandwidth enhancement and stability are very hard to meet simultaneously whereas, in the second case, an adjustment of the transistor gain does significantly increase bandwidth.
Key words: Metamaterials / NonFoster circuit / Linvill / Gyrator / Artificial magnetic media / Artificial magnetic conductor
© E. AvignonMeseldzija et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1 Introduction
Ever since the turn of the millennium, metamaterials have paved the way for very innovative and promising propositions. However, in most early demonstrations, the useful frequency bandwidth was quite limited and that significantly hindered the translation of metamaterials concepts into industrial applications. Quickly, it was realized that these narrow bandwidths were inherently linked to the linear and passive, thus causal, nature of metamaterials [1–3]. Following this observation, several authors suggested to couple metamaterials with nonFoster circuits to overcome these limitations [4–11].
Foster's theorem states that the reactance of a passive, lossless, twoterminal network strictly increases with frequency [12]. Any circuit that violates this rule is thus referred to as nonFoster (NF). Usually, NF circuits aim to generate pure negative reactances (negative capacitances, inductances, or both), i.e., with the least amount of resistance. On one hand, NF circuits have been successfully used to improve impedance matching of small antennas, by introducing a negative capacitance in the feeding network [13–20]. On the other hand, the number of NF circuits that demonstrated significant metamaterial bandwidth enhancement with a negative inductance is still very limited [20,21], despite many proposals [5–8,11]. This paper thus focuses only on negative inductance circuits among all nonFoster circuits.
This paper intends to clarify the fundamental difficulty in making a truly broadband and efficient NF metamaterial. To this end, we consider two families of metamaterials: Artificial Magnetic Media (AMM) and Artificial Magnetic Conductors (AMC). These two families have been extensively studied, yet still hold a great potential for innovative applications. In both cases, bandwidth enhancement requires a nonFoster impedance able to compensate the intrinsic positive inductance with as less resistance as possible.
This paper is organized into four parts. In the first one, we present both AMMs and AMCs, highlighting in both cases the need for NF circuits. In the second one, we introduce two types of NF circuits, namely the Linvill and gyrator, and discuss their performances. In the third one, we discuss the critical issue of NF circuits stability, both unloaded and loaded, coupling AMMs to Linvills and AMCs to gyrators. In the fourth one, we assess performances of both NF circuits in their stable configuration and explain their respective limitations. This is followed by a conclusion and prospects.
2 NonFoster AMM and AMC
2.1 NonFoster AMM
AMMs are essentially arrays of resonators with a nonzero magnetic dipole moment [22]. At resonance, the structure behaves like an effective medium with a dispersive nonzero magnetic permeability. Hence, AMMs are a leading choice in magnetodielectric antenna substrates and MRI lenses [23,24]. However, like all metamaterials, AMMs bandwidth is quite limited. In 2013, a collaboration from Northeastern and Cornell universities was the first to show that a NF negative inductor can significantly increase the operating bandwidth of an AMM [8].
In this paper, we consider a specific AMM, namely an array of splitring resonators (SRRs). A single SRR can be modeled as a simple RLC series resonant circuit [25], while an array of SRRs can be modeled as a Transmission Line (TL) connected, via a mutual inductance, to a RLC series resonant circuit. Furthermore, a lumped capacitor and a NF circuit can be introduced (Figure 1).
In the following, we consider a NF circuit generating a negative inductance (Z_{NF} = R_{NF} + jL_{neg}ω). Due to its RLC series character, this AMM has the following resonance frequency: (1) Besides, the bandwidth at halfmaximum is given by: (2)Obviously, it becomes infinitely large when L_{t} tends towards zero, i.e., when L_{neg} tends towards −L_{p}. Thus, to simultaneously increase the bandwidth and keep the resonance frequency constant, we need to increase the capacitance C_{p}.
Fullwave simulations, using the FiniteElement Method (FEM), were run to estimate the accuracy of our equivalent circuit. Results clearly demonstrate its validity (Figure 2). Hence, we ran several equivalent circuit simulations, varying both L_{neg} and R_{NF}, assuming that neither of these parameters depends on frequency, while adjusting C_{p} to keep the resonance frequency constant.
From Sparameters, permittivity and permeability were obtained with the NRW algorithm [26,27]. It is well known that this algorithm can lead to a permittivity with a nonphysical meaning near the resonance. Some authors have proposed new algorithms to circumvent this difficulty [28] but, if the permittivity is then quite different, the permeability does remain equal to that given by the NRW algorithm. Thus, we still use it in the following.
Figure 3 illustrates the two main impacts of the NF impedance introduction into the circuit. First, that of a pure negative inductance (L_{neg} = −40 nH), which almost compensates the loop inductance, and, second, that of an additional resistance (R_{NF} = 17 Ω), which stems from the actual NF impedance.
From this short study, two important lessons can be drawn:

A perfect negative inductance substantially increases the bandwidth corresponding to a useful permeability, provided L_{neg} is close to L_{p} (with L_{neg} < L_{p} for stability, Section 4.2).

The resistive part associated to the NF impedance should not exceed a few ohms to effectively obtain a large bandwidth.
Fig. 1 Equivalent circuit modeling a SRR array: PI network of a transmission line connected, via a mutual inductance, to a RLC series resonant circuit. (L_{p}: loop inductor, C_{p}: loop + lumped capacitor, Z_{NF}: NF impedance, R_{p}: loop resistance). 
Fig. 2 Comparison of Sparameters calculated by fullwave simulations with the equivalent circuit of Figure 1 (C_{1} = 0.2 pF, L_{1} = 31.5 nH, M = 18.5 nH, L_{p} = 45 nH, C_{p} = 2 pF and R_{p} = 3 Ω). Insert: Geometry of the calculated SRR. Cell size: 25 × 20 × 25 mm. SRR length: 20 mm, SRR strip width: 2 mm, SRR gap: 1.5 mm. Periodic boundary conditions are assumed in both lateral directions. 
Fig. 3 Effective permeability (real part) of a SRR array vs frequency: (1) L_{neg} = 0, C_{p} = 2 pF, R_{NF} = 0 Ω; (2) L_{neg} = −40 nH, C_{p} = 18 pF, R_{NF} = 0 Ω; (3) L_{neg} = −40 nH, C_{p} = 18 pF, R_{NF} = 17 Ω. 
2.2 NonFoster AMC
AMCs are essentially capacitive Frequency Selective Surfaces (FSS) on a ground plane [29]. At resonance, an incident wave is reflected without any phase shift and the structure behaves as a perfect magnetic conductor. Hence, AMCs are a leading choice for lowprofile antennas or thin radarabsorbing materials [30–32]. AMCs are especially attractive at low operating frequencies due to their extremely small thickness. However, like all metamaterials, AMCs bandwidth is quite limited. In 2011, a group from HRL Laboratories was the first to show that a NF negative inductor can significantly increase the operating bandwidth of an AMC [21].
In this paper, we consider a specific AMC, namely a patch array placed at a distance d above a ground plane. When d is small compared to λ, the propagation between the FSS and the ground plane is equivalent to an inductance L_{d} = μ_{0}d. Thus, an AMC is equivalent to a LC parallel resonant circuit (Figure 4).
In the following, we consider a NF circuit generating a negative inductance (Z_{NF} = R_{NF} + jL_{neg}ω). Due to its LC parallel character, this AMC has the following resonance frequency: (3) Besides, the derivative of the phase shift on resonance, which is the relevant figure of merit, is given by: (4)Obviously, it becomes infinitely small when L_{t} tends towards infinity, i.e., when L_{neg} tends towards −L_{d}. Thus, unlike the AMM, to simultaneously increase the bandwidth and keep the resonance frequency constant, we need to decrease the capacitance C_{g}.
As for the AMM, fullwave simulations were run to estimate the accuracy of our equivalent circuit. Results clearly demonstrate its validity (not shown). Hence, we ran several equivalent circuit simulations, varying both L_{neg} and R_{NF}, assuming that neither of these parameters depends on frequency, while adjusting C_{g} to keep the resonance frequency constant.
We have considered a patch array placed at d = 25 mm over a ground plane (L_{d} = 31.4 nH), with a small patch capacitance (0.25 pF). With these parameters, the structure behaves as an AMC around 1.6 GHz. Since our initial working frequency is too high, we have two options to lower it down to 250 MHz. We can either add a lumped capacitor to increase C_{g} (up to 12.8 pF) or add a negative inductor to increase L_{t} (up to 1290 nH for L_{neg} = −32.2 nH).
Figure 5 illustrates the two main impacts of the NF impedance introduction into the circuit. First, that of a pure negative inductance (L_{neg} = −32.2 nH), which almost compensates the loop inductance, and, second, that of an additional resistance (R_{NF} = 3 or 10 Ω), which stems from the actual NF impedance.
From this short study, two important lessons can be drawn:

A perfect negative inductance substantially increases the bandwidth corresponding to a PMC behavior, provided L_{neg} is close to L_{d} (with L_{neg} > L_{d} for stability, Section 4.4).

The resistive part associated to the NF impedance should not exceed a few ohms to effectively obtain a large bandwidth.
In summary, both AMMs and AMCs require a negative inductance with a small resistive part. Hence, some of the requirements placed on NF circuits are common to these two structures. However, one major difference is their series versus parallel character. This has dramatic consequences on the choice of a relevant NF architecture as discussed next.
Fig. 4 Equivalent circuit modeling a patch array: shortcircuited transmission line connected to a capacitance, thus forming a LC series resonant circuit. (L_{d}: shortcircuit inductor, C_{g}: patch + lumped capacitor, Z_{NF}: NF impedance). 
Fig. 5 Phase on reflection of a patch array vs frequency: (1) No negative inductance, C_{g} = C_{gl} = 12.8 pF; (2) L_{neg} = −32.2 nH, C_{g} = C_{g0} = 0.25 pF, R_{NF} 0 Ω; (3) L_{neg} = −32.2 nH, C_{g} = C_{g0} = 0.25 pF, R_{NF} = 3 Ω; (4) L_{neg} = −32.2 nH, C_{g} = C_{g0} = 0.25 pF, R_{NF} = 10 Ω. 
3 Negative inductance circuits
Among all possible circuit architectures that can generate negative inductances, two have been selected: Linvill (a Negative Impedance Converter or NIC: Z → − Z) and gyrator (a Negative Impedance Inverter or NII: Z → − 1/Z). A majority of architectures proposed in the literature are based on these two.
Many authors pointed out the negative impact of transmission lines and transistor packages on NonFoster circuits [33–36]. As Loncar et al. have shown, transmission lines have an impact on both reactance and resistance. Thus, the electrical length of transmission lines should be reduced as much as possible. Consequently, we have decided to work with integrated circuits.
We chose to base both topologies on MOSFET (Metal Oxide Semiconductor Field Effect Transistor), which is the most commonly used transistor in microelectronics. The classical small signal model of the MOSFET, presented in Figure 6, is used in the following [37].
In Figure 6, g_{m} is the transistor transconductance, v_{gs} its gatesource voltage, r_{0} its output resistance (with or without a drain resistor in parallel), and C_{gs}, C_{gd}, C_{ds} its parasitic capacitances. Values of the above parameters depend on technology, bias point, and transistor dimensions. For instance, larger transistors have larger parasitic capacitances. We chose to consider a mature and readily accessible technology (CMOS 0.35 μm). Following values remain constant throughout the paper: C_{par} = C_{gs} + C_{ds} = 0.4 pF, C_{gd} = 0.2 pF, r_{0} = 2 kΩ.
Fig. 6 Small signal model of the MOSFET [37]. The three nodes correspond to the Gate (G), Source (S), and Drain (D). 
3.1 Negative inductance based on Linvill circuits
The principle of the Linvill circuit was first published in [38]. Since then, a large number of implementations have been proposed, some using discrete components [15,39–41], and others fully integrated [42,43]. Since it is a NIC, it provides negative inductance/capacitance when loaded with an inductor/capacitor.
Figure 7a presents the principle of the Linvill circuit while Figure 7b presents its smallsignal model. Considering a simplified model, without parasitic capacitors, the input impedance is given by: (5) The final approximation was obtained by assuming g_{m}r_{0} >> 1. Thus, for the Linvill, the reactive part of the impedance only depends on the load and the resistive part is positive and decreases with g_{m}.
At first glance, it would then seem as though one only need consider a pure inductance (Z_{L} = jLω) together with a large g_{m}. However, a large g_{m} implies large power consumption, as shown in [42] where g_{m} has the unusually large value of 30 mS. A practical alternative is to add a compensation resistor in series (Z_{L} = R + jLω). In the following, we consider the full model, i.e., including compensation resistor, parasitic capacitors and without any approximation (for the complete expression of the input impedance see Appendix A.1).
In the Linvill circuit, two parameters are readily controllable: g_{m} and R. Even within the full model, they afford enough degrees of freedom to cancel the real part of the NF impedance at any frequency of interest. To illustrate this fact, we consider a specific example (g_{m} is limited to 20 mS in order to consider achievable values). Figure 8 presents results that were obtained with R varying from 0 Ω to 100 Ω (g_{m} = 20 mS, L = 40 nH). We see that the real part always cancels at some frequency (f_{Re0}), which increases with R. Besides, we observe that the real part quickly takes on large negative values beyond f_{Re0}.
Conclusions of this section are threefold. First, a negative inductance can be obtained by introducing an inductor in the load impedance. Second, cancellation of the real part can be achieved either by a large g_{m} or by adding a resistor R to the load impedance, and this can be achieved at any frequency of interest. Finally, minimization of the real part on a large bandwidth cannot be done around any frequency but, rather, is achievable only at low frequencies (f < 200 MHz) and for large compensation resistor (R > 100 Ω).
Fig. 7 a) Linvill circuit with MOSFET transistors. b) Smallsignal model of the Linvill circuit. 
Fig. 8 Input impedance of the Linvill circuit, Z_{Linv} = Re(Z_{Linv}) + jL_{Linv}ω, assuming g_{m} = 20 mS, L = 40 nH and: (1) R = 0 Ω, f_{Re0} = 900 MHz (2) R = 50 Ω, f_{Re0} = 570 MHz; (3) R = 100 Ω, f_{Re0} = 120 MHz. 
3.2 Negative inductance based on Gyrator circuits
Gyrator circuits [44,45] have been massively employed for IC implementation of active inductors to avoid integration of passive spiral inductors [46], which take up a lot of space. Recently, this topology has even been used in an IC to obtain a negative inductance dedicated to AMCs [47]. Since it is a NII (Negative Impedance Inverter), it provides negative inductance /capacitance when it is loaded with a capacitor/inductor.
Figure 9a presents the principle of the gyrator circuit while Figure 9b presents its smallsignal model. Each transistor in this simplified view is actually an Operational Transconductance Amplifier (OTA). We note that it is highly recommended to use onestage OTAs as multiplestages OTAs introduce more nodes thus leading to greater risks of instability (for possible topologies of onestage OTA circuits see Appendix B). In contrast to positive active inductors, which use two OTAs with g_{m} of different signs, negative inductors use two OTA with g_{m} of the same sign.
Considering a simplified model, without parasitic capacitors, the input impedance is given by: The final approximation was obtained by assuming both and . Thus, for the gyrator, both reactive and resistive parts of the impedance are negative and decrease with .
At first glance, it would then seem as though one only need consider a pure capacitance (Z_{L} = 1/jCω) together with a large g_{m}. However, when one goes beyond the simplified model, resistive and reactive parts can no longer be dissociated. In the following, we consider the full model, i.e., including parasitic capacitors and without any approximation (for the complete expression of the input impedance see Appendix A.2).
In the gyrator circuit, three parameters are readily controllable: r_{0}, g_{m} and C via varactors (r_{0} has been kept constant at 2 kΩ for simplicity). Even within the full model, they afford enough degrees of freedom to cancel the real part of the NF impedance at any frequency of interest. In contrast to the Linvill though, a thorough knowledge of parasitic capacitances is required to achieve such cancellation. To illustrate this fact, we consider a specific example. Figure 10 presents results that were obtained for three different combinations of g_{m} and C. All combinations ensure that the negative inductance equals −32.2 nH at 250 MHz but the real part cancels at different frequencies (f_{Re0}). We see that optimal values of g_{m} and C do not follow any simple law.
Conclusions of this section are threefold. First, a negative inductance can be obtained by introducing a capacitor in the load impedance. Second, cancellation of the real part can be achieved by a suitable combination of g_{m} and C. Finally, the real part is overall much smaller than for the Linvill and, thus, the exact frequency at which it does cancel is not as critical as its minimization to achieve a large bandwidth.
Fig. 9 a) Gyrator circuit with MOSFET transistors. b) Smallsignal model of the gyrator circuit. 
Fig. 10 Input impedance of the gyrator circuit, Z_{gyr} = Re(Z_{gyr}) + jL_{gyr}ω (1) g_{m} = 7 mS, C = 0.87 pF, f_{Re0} = 239 MHz (2) g_{m} = 15 mS, C = 7.0 pF, f_{Re0} = 152 MHz (3) g_{m} = 30 mS, C = 30 pF, f_{Re0} = 96 MHz. 
3.3 Linvill vs Gyrator
Both topologies can lead to the desired values of negative inductance, but do not present the same advantages.
Concerning the quality factor Q = Im(Z_{NF})/Re(Z_{NF}), Linvill circuits presents a real part that is relatively large compared to gyrators, hence a much lower quality factor. However, it is easier to cancel the real part around the frequency of interest with Linvills than with gyrators, thanks to the compensation resistor R. Still, it does not actually affect performances of gyrator circuits as they do not present a steep variation of the real part with frequency. Concerning the chip area, Linvill circuits are clearly worse than gyrators as they require an inductance. Gyrator circuits are more compact and, additionally, offer the possibility to tune g_{m} via the bias current to change the value of the negative inductance. Concerning stability, it will be shown in what follows that the choice of configuration (in shunt or in series) is a key point for the stability of the whole metamaterial.
4 Stability
Stability of nonFoster circuits is a recurrent topic in the literature [48–50]. The approach used in this paper to systematically detect the emergence of instability in a circuit is similar to that proposed in [51]. In order for this paper to be selfcontained, we summarize its main steps below.
In general, a linear system can be considered stable if a Bounded Input results in a Bounded Output (BIBO). Control theory states that it is possible to determine the BIBO nature of a closedloop system by studying poles of its transfer function: All poles must have a negative real part, i.e., belong to the Left Half Plane (LHP).
For a linear circuit, stability occurs if no current or voltage output diverges or oscillates for any applied input. This must hold true at all nodes. A unitary impulsion V(s) or I(s) must thus be applied to each node, making sure that the circuit returns to its initial state once the impulsion has died out. The choice is made as follows [51]:

If the node of the circuit is connected to a virtual ground then a voltage impulsion V(s) is introduced in the circuit. Since I(s) = Y(s), the current i(t) will diverge if poles of Y(s), zeros of Z(s), have positive real parts. Thus, it is an admittance analysis;

If the node of the circuit is not connected to a virtual ground then a current impulsion I(s) is introduced in the circuit. Since V(s) = Z(s), the voltage v(t) will diverge if poles of Z(s), zeros of Y(s), have positive real parts. It is an impedance analysis.
In our case, we have observed that no exact polezero cancellation occurs for either Linvill or gyrator circuits and, thus, all nodes have the same poles. Consequently, stability need not be studied at every node and any given node can be chosen [51].
In the following we proceed to a twostep stability study of Linvill and gyrator circuits. First, we consider their intrinsic stability, i.e., the stability of the NF circuit alone. Second, we consider the stability of Linvill circuits connected to AMMs and gyrator circuits connected to AMCs, respectively.
4.1 Intrinsic stability of Linvill circuits
The structure of the Linvill circuit is very close to that of a crosscoupled oscillator. Therefore, stability is critical.
All nodes being equivalent, we choose to consider stability at node A (Figure 7b). Since this node is connected to a virtual ground, a voltage impulsion is applied and we proceed to an admittance analysis. Within the simplified model, the only pole of Y_{Linv} is given by: (7) From equation (7), conditions for intrinsic stability can be deduced. Hereon, we assume that the product g_{m}r_{0} is large enough to achieve a negative inductance (g_{m}r_{0} > 1).
When R tends towards zero, the real part of this pole is positive (unstable). When R increases, the real part of this pole becomes negative (stable), as soon as R > 2r_{0}/(g_{m}r_{0} − 1). With the values from Figure 8, stability is achieved for compensation resistors larger than 68 Ω (this condition no longer strictly holds within the full model). In short, Linvill circuits often present an intrinsic instability in the typical negative inductance configuration.
4.2 Stability of Linvill circuits coupled to AMMs
The intrinsic instability of the Linvill circuit can be compensated by connecting it to a suitable impedance. Because instability is due to the pole of the Linvill admittance, stability can be obtained by introducing in series a positive inductance greater than the absolute value of the Linvill's negative inductance (total inductance L_{t} > 0). Hence, Linvill circuits are compatible with AMMs but not with AMCs.
Stability is thus analyzed when a Linvill circuit is coupled to a SRR array (Figure 1). The electrical model of the SRR is composed of a transformer, L_{p} = 45 nH, L_{1} = 31.5 nH, M = 18.5 nH, in series with a resistance R_{p} = 3 Ω and a capacitor C_{p} = 18 pF, leading to a resonance at 530 MHz. An equivalent resistance R_{r} = 377 Ω models the characteristic impedance of air. The equivalent circuit considered for the stability study corresponds to Figure 1 with Z_{NF} replaced by the circuit on Figure 7b.
The complete system, as well as the possible nodes of study, is presented in Figure 11. If the stability study is undertaken at nodes B, C or D, an impedance analysis (current impulsion) will have to be carried out whereas, if it is undertaken at node A, it will have to be an admittance analysis (voltage impulsion).
Here, node B has been chosen for analysis. The analysis of poles loci is carried out only with respect to L, as g_{m} is set to its maximum value (22 mS) and R is chosen to cancel the real part of Z_{Linv} at 530 MHz (adjusted for each value of L, it varies from 90 to 60 Ω).
Figure 12 shows poles loci obtained for L varying between 5 and 30 nH, leading to a negative inductance varying from −2 to −30 nH. It can be seen that a value of L greater than L_{max} = 26 nH, which corresponds to L_{Linv} = −28.2 nH at 530 MHz, places two poles in the RHP. Since a total inductance close to zero (L_{p} = 45 nH) is critical to get a significant bandwidth improvement, subpar performances can be anticipated. The inset presents the evolution of L_{max} with g_{m}: increasing g_{m} further leads to a slowly decreasing L_{max}.
There is an inherent difficulty in coupling Linvill circuits to AMMs: to obtain small resistances a large g_{m} is needed but with a large g_{m} the possible negative inductances are limited by stability considerations (Figures 13 and 14).
Fig. 11 Equivalent circuit of the Linvill NIC coupled to the SRR array (AMM). All four nodes and their respective impedance/admittance analysis are represented. 
Fig. 12 Poles loci at node B. g_{m} is constant (22 mS). To cancel the real part of Z_{Linv} at 530 MHz, R varies from 90 to 60 Ω when L goes from 5 to 30 nH. The inset shows the evolution of L_{max} with g_{m}. 
Fig. 13 Equivalent circuit of the gyrator NII coupled to the patch array (AMC). All three nodes and their respective impedance/admittance analysis are represented. 
Fig. 14 Poles loci at node A (g_{m} = 15 mS, C varies from 9 pF to 4 pF when L_{gyr} goes from −40 nH to −20 nH). 
4.3 Intrinsic stability of gyrator circuits
All nodes being equivalent, we choose to consider stability at node A (Figure 9b). Since this node is not connected to a virtual ground, a current impulsion is applied and we proceed to an impedance analysis. Within the simplified model, the only pole of Z_{gyr} is given by: (8)
From equation (8), conditions for intrinsic stability can be straightforwardly deduced. When g_{m} > 1/r_{0}, the real part of this pole is positive (unstable) and the impedance is mostly inductive. When g_{m} < 1/r_{0}, the real part of this pole is negative (stable) and the impedance is mostly resistive.
It means that as long as the impedance is mostly inductive the negative inductance created by the gyrator circuit is intrinsically instable.
4.4 Stability of gyrator circuits coupled to AMCs
The intrinsic instability of the gyrator circuit can be compensated by connecting it to a suitable impedance.
Because instability is due to the pole of the gyrator impedance, stability can never be restored by connecting a positive inductor in series [50]. However, a stable configuration can be obtained in shunt with a positive inductance smaller than the absolute value of the gyrator's negative inductance (total inductance L_{t} > 0)[50]. Hence, gyrator circuits are compatible with AMCs but not with AMMs.
Stability is thus analyzed when a gyrator circuit is coupled to a patch array (Figure 4). The electrical model of the patch array is composed of a capacitor (C_{go} = 0.25 pF) in shunt with an inductor L_{d} = 31.4 nH. An equivalent resistance R_{r} = 377 Ω models the impedance of air. The equivalent circuit considered for the stability study corresponds to Figure 1 with Z_{NF} replaced by the circuit on Figure 9b.
The complete system, as well as the possible nodes of study, is presented in Figure 11. If the stability study is undertaken at nodes A or C, an impedance analysis (current impulsion) will have to be carried out whereas, if it is undertaken at node B, it will have to be an admittance analysis (voltage impulsion).
Here, node A has been chosen for analysis. The analysis of poles loci is carried out with respect to both g_{m} and C.
Figure 12 shows poles loci for g_{m} = 15 mS and C varying from 9 to 4 pF, leading to a negative inductance varying from −40 to −20 nH.
All values of L_{gyr} such as L_{gyr} > L_{d} lead to a stable configuration. Nevertheless, the limit value occurring for C_{min} = 6.3 pF, which corresponds to L_{gyr} = −29.7 nH, exceeds somewhat this condition. Two reasons explain this behavior:

The impedance of the air appears in shunt with r_{0} and decreases the quality factor of the system gyrator/AMC.

The real part of the gyrator increases with the frequency (cf. Figure 10).
Indeed, it's possible to generate a stable inductance close to the shortcircuit inductance L_{d} which is critical to get a significant bandwidth improvement. Variations of g_{m} or of r_{0} do not modify this observation.
In contrast with the result obtained for the Linvill/AMM configuration, there is no intrinsic difficulty in coupling gyrator circuits to AMCs: small resistances are intrinsic while stability does not preclude from obtaining the required inductances.
5 Performances of metamaterials coupled with nonFoster circuits
In the following, stable Linvill and gyrator circuits are coupled with SSR and patch arrays, respectively, to evaluate the bandwidth enhancement that can be attained.
5.1 AMMs coupled with Linvill circuits
Parameters of the considered Linvill circuit are: g_{m} = 22 mS, R = 66 Ω, and L = 25 nH. In this case, a negative inductance of −24.4 nH is generated. The corresponding effective permeability is compared to that obtained with an ideal negative inductance and a stable Linvill circuit (). Note that C_{p} was chosen equal to 4.4 pF in order to keep the resonance frequency at 530 MHz (Figure 15).
It appears that, even with an optimized Linvill circuit, only a modest bandwidth enhancement can be achieved. Furthermore, there are no simple solutions in sight to improve this result. Decreasing parasitic capacitances, e.g. using a different transistor technology, can lead to the migration of other poles to the RHP and, thus, instability.
Fig. 15 Effective permeability of a SRR array vs. frequency for the following three configurations: (1) Initial SRR array, C_{p} = 2 pF (2) Ideal negative inductance, C_{p} = 18 pF, L_{neg} = −40 nH, R_{NF} = 0 Ω (3) Stable Linvill circuit C_{p} = 4,4 pF, L_{neg} = −24.4 nH, R_{NF} = 66 Ω. 
5.2 AMC coupled with gyrator circuits
Parameters of the considered gyrator circuit are: g_{m} = 15 mS and C = 7,3 pF. In this case, a negative inductance of −31.9 nH is generated. The corresponding phase on reflection is compared to that obtained with an ideal negative inductance and a stable gyrator circuit (Figure 16).
To quantify the performance of this nonFoster AMC, we consider the slope as the figure of merit (see Eq. (4)). An ideal inductor would decrease this slope by a factor of 51. A gyratorbased negative inductor does decrease this slope by a factor 5.1. Although far from optimal, this gain is still very interesting because it is the performance that would be achieved with a five times thicker AMC.
Fig. 16 Phase on reflection of a patch array vs. frequency for the following three configurations: (1) Initial patch array, C_{g} = C_{gl} = 12.8 pF (2) Ideal negative inductance, C_{g} = C_{g0} = 0.25 pF, L_{neg} = −32.2 nH, R_{NF} = 0 Ω (3) Stable gyrator circuit, C_{g0} = 0.25 pF, L_{neg} = −31.9 nH, R_{NF} = 3.2 Ω. 
6 Conclusions
In this paper, we investigated all requirements imposed on nonFoster circuits by bandwidth enhancement. First, we considered two metamaterial families, namely AMMs and AMCs. The investigation of both metamaterial families showed that the achievement of nonFoster metamaterials requires negative inductances, to compensate for intrinsic positive inductances, and extremely small resistances, to avoid attenuation or amplification. Then, we investigated two practical electronic architectures: Linvill and gyrator circuits. Stability considerations lead us to connect Linvill circuits to AMMs and gyrator circuits to AMCs. It was shown that the input impedance of Linvill circuits is dictated solely by the load impedance whereas, for gyrator circuits, both load impedance and transconductance play a role.
Conclusions are different for the two types of circuits. For Linvill circuits, stability is achieved only far away from the optimum. This represents a major limitation and, thus, this type of NF circuit does not bring about any gain in performance for the considered application. For gyrator circuits, no such issues were met. Yet, achieving both small resistances and large/negative inductances simultaneously and on a large bandwidth proved challenging. In the end, the performance of this type of NF circuit was still more than five times better than that of conventional metamaterials.
6.1 Implications and influences
In the last ten years, several authors have suggested coupling metamaterials with nonFoster circuits to increase the operational frequency bandwidth. However, up to now, the number of convincing demonstrations based on nonFoster metamaterials has been very limited. To go beyond these first attempts and get a deeper understanding of the difficulty in coupling metamaterials with nonFoster circuits, we combined the expertise of scientists working in the fields of metamaterials and integrated circuits.
On two representative examples, this paper suggests a methodology to study the coupling of metamaterials and nonFoster circuits taking into account the fundamental issue of the stability. These examples show the utmost importance of selecting the appropriate electronic architecture for a given metamaterial. Besides, they also show the compelling need to consider detailed equivalent circuits of these architectures, even down to parasitic terms.
We firmly believe that this paper, by bringing together complementary expertise, will be very valuable for all scientists striving to combine metamaterials with electronics circuits.
7 Appendix A
The purpose of this appendix is to provide the full equations, in all of their glorious complexity, for the Linvill and gyrators circuits.
7.1 Linvill
The input impedance of the full model, with compensation resistor, parasitic capacitors and no approximation is given by: (A.1) Simplified and full models are compared on Figure A.1 for a specific case (g_{m} = 20 mS, R = 100 Ω, L = 40 nH, same parameters as Figure 8). All other parameters are given in Section 3.
As can be seen from Figure A.1, there is little to no impact of the approximation on the simplified model except for a small upwards shift of the inductance. However, only the full model should be used at frequencies above 500 MHz since resistive parts of the input impedance for simplified and full models strongly deviate from each other afterwards.
Fig. A.1 Comparison of the simplified and full model of the Linvill circuit from 100 to 900 MHz. Circuit parameters are g_{m} = 20 mS, R = 100 Ω, and L = 40 nH. (Top) Real part of the input impedance. (Bottom) Equivalent inductance of the input impedance. 
7.2 Gyrator
The input impedance of the full model, with compensation resistor, parasitic capacitors and no approximation is given by: (A.2.1) Simplified and full models are compared on Figure A.2 for a specific case (g_{m} = 15 mS, C = 7 pF, same parameters as Figure 10). All other parameters are given in Section 3.
As can be seen from Figure A.2, there is a small but significant impact of the approximation on the simplified model as it predicts only positive resistance, thereby missing potential instabilities. However, unlike the Linvill, the simplified model of the gyrator is valid on a very wide frequency range since the overall deviation is much smaller.
Fig. A.2 Comparison of the simplified and full model of the gyrator circuit from 100 to 500 MHz. Circuit parameters are g_{m} = 15 mS, and C = 7 pF. (Top) Real part of the input impedance. (Bottom) Equivalent inductance of the input impedance. 
8 Appendix B
The purpose of this appendix is to provide to the reader a synthetic overview on possible circuits for the gyrator and the Linvill topologies. It could not be an exhaustive presentation.
8.1 Gyrator
The gyrator topology is based on two OTA (Operational Transconductance Amplifier). In the case of Non Foster, due to the high risk of instability it is better to limit the number of nodes and then the number of stages in the OTA. Two basic configurations are presented in Figure B.1. The equivalent small signal model is coherent with the small signal model of a MOSFET transistor. It means that the studies presented in this article are valid for these configurations, by only modifying the values of parameters of the small signal model, particularly r_{0}. An example of gyrator based on two one stage inverter based OTA is proposed in [52]
Fig. B.1 Single Input Single Output (SISO) configurations of OTA. 
8.2 Linvill
The Linvill circuit has been achieved many times with varying technologies (bipolar transistors or MOSFET, integrated or with lumped elements). We propose in Figure B.2 two MOSFETbased recently published circuits [42,39]. As it can be seen on the figure, the drains of the crosscoupled transistors could be connected to transistors or resistors. So in the small signal model of the MOSFET it will change the order of magnitude of r_{0}.
References
 D. Youla, L. Castriota, H. Carlin, IRE Trans. Circ. Theor. 6, 102 (1959) [CrossRef] [Google Scholar]
 S.A. Tretyakov, Microw. Opt. Technol. Lett. 31, 163 (2001) [CrossRef] [Google Scholar]
 S.A. Tretyakov, S.I. Maslovski, IEEE Antennas Propag. Mag. 49, 37 (2007) [CrossRef] [Google Scholar]
 S. Hrabar et al., Appl. Phys. Lett. 99, 254103 (2011) [CrossRef] [Google Scholar]
 S. Hrabar, I. Krois, A. Kiricenko, Metamaterials 4, 89 (2010) [CrossRef] [Google Scholar]
 P.Y. Chen, C. Argyropoulos, A. Alù, Phys. Rev. Lett. 111, 233001 (2013) [CrossRef] [Google Scholar]
 D.F. Sievenpiper, IEEE Antennas Wirel. Propag. Lett. 10, 231 (2011) [CrossRef] [Google Scholar]
 S. Saadat et al., IEEE Trans. Antennas Propag. 61, 1210 (2013) [CrossRef] [Google Scholar]
 F. Gao et al., Electron. Lett. 50, 1616 (2014) [CrossRef] [Google Scholar]
 Y. Ding, V. Fusco, Microw. Opt. Technol. Lett. 54, 2111 (2012) [CrossRef] [Google Scholar]
 M. Barbuto et al., IEEE Trans. Antennas Propag. 61, 1219 (2013) [CrossRef] [Google Scholar]
 C.G. Montgomery, R.H. Dicke, E.M. Purcell, Principles of microwave circuits (Iet, 1948) [Google Scholar]
 A.D. Harris, G.A. Myers, DTIC Document, 1968 [Google Scholar]
 J.T. Aberle, R. LoepsingerRomak, Synth. Lect. Antennas 2, 1 (2007) [CrossRef] [Google Scholar]
 S.E. SussmanFort, R.M. Rudish, IEEE Trans. Antennas Propag. 57, 2230 (2009) [CrossRef] [Google Scholar]
 C.R. White, J.S. Colburn, R.G. Nagele, IEEE Antennas Wirel. Propag. Lett. 11, 584 (2012) [CrossRef] [Google Scholar]
 O.O. Tade, P. Gardner, P.S. Hall, in: 42nd European Microwave Conference (EuMC), 2012, p. 613 [Google Scholar]
 S.D. Stearns, in: IEEE International Symposium on Antennas and Propagation (APSURSI), 2011, p. 1942 [Google Scholar]
 M.M. Jacob, J. Long, D.F. Sievenpiper, in Antennas and Propagation Society International Symposium (APSURSI), IEEE., 2012, p. 1 [Google Scholar]
 N. Zhu, R.W. Ziolkowski, Appl. Phys. Lett. 101, 024107 (2012) [CrossRef] [Google Scholar]
 D.J. Gregoire, C.R. White, J.S. Colburn, IEEE Antennas Wirel. Propag. Lett. 10, 1586 (2011) [CrossRef] [Google Scholar]
 S.A. Tretyakov, Analytical modeling in applied electromagnetics (Artech House, 2003) [Google Scholar]
 R.C. Hansen, M. Burke, Microw. Opt. Technol. Lett. 26, 75 (2000) [CrossRef] [Google Scholar]
 M.J. Freire, R. Marques, L. Jelinek, Appl. Phys. Lett. 93, 231108 (2008) [CrossRef] [Google Scholar]
 H. Mosallaei, K. Sarabandi, IEEE Antennas Wirel. Propag. Lett. 4, 5 (2005) [CrossRef] [Google Scholar]
 A.M. Nicolson, G.F. Ross, IEEE Trans. Instrum. Meas. 19, 377 (1970) [CrossRef] [Google Scholar]
 W.B. Weir, Proc. IEEE 62, 33 (1974) [Google Scholar]
 C.R. Simovski, Opt. Spectrosc. 107, 726 (2009) [Google Scholar]
 B.A. Munk, Frequency Selective Surfaces: theory and design (John Wiley and Sons, 2005) [Google Scholar]
 S.R. Best, D.L. Hanna, IEEE Antennas Propag. Mag. 50, 52 (2008) [CrossRef] [Google Scholar]
 Y. Fan, Y. RahmatSamii, IEEE Trans. Antennas Propag. 51, 2691 (2003) [CrossRef] [Google Scholar]
 N. Engheta, in Antennas and Propagation Society International Symposium, 2002 (IEEE, 2002), p. 392 [Google Scholar]
 J. Lončar, D. Muha, S. Hrabar, in 2013: IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting 2015, p. 73 [Google Scholar]
 T. Kaneko, Y. Horii, in: 2013 AsiaPacific Microwave Conference Proceedings (APMC), 2013, p. 1194 [CrossRef] [Google Scholar]
 A.M. Elfrgani, R.G. Rojas, in: IEEE MTTS International Microwave Symposium, 2015, p. 1 [Google Scholar]
 J. Loncar, S. Hrabar, D. Muha, IEEE Trans. Antennas Propag. 65, 390 (2017) [CrossRef] [Google Scholar]
 R.J. Baker, CMOS: circuit design, layout, and simulation (John Wiley and Sons, 2008) [Google Scholar]
 J.G. Linvill, Proc. IRE. 41, 725 (1953), DOI:10.1109/JRPROC.1953.274251 [CrossRef] [Google Scholar]
 G. Fu, S. Sonkusale, Appl. Phys. Lett. 106, 203504 (2015) [CrossRef] [Google Scholar]
 M.M. Jacob, J. Long, D.F. Sievenpiper, IEEE Trans. Antennas Propag. 62, 6081 (2014) [CrossRef] [Google Scholar]
 J. Long, D.F. Sievenpiper, IEEE Trans. Antennas Propag. 64, 3003 (2016) [CrossRef] [Google Scholar]
 S. Saadat et al., IEEE Microw. Wirel. Compon. Lett. 25, 118 (2015) [CrossRef] [Google Scholar]
 Y. Chen, K. Mouthaan, IEEE Trans. Circuits Syst. I: reg. papers. 57, 2609 (2010) [CrossRef] [Google Scholar]
 B.D.H. Tellegen, Philips Res. Rep. 3, 81 (1948) [Google Scholar]
 E.H. Kopp, Proc IEEE. 53, 2125 (1965) [CrossRef] [Google Scholar]
 F. Yuan, CMOS Active Inductors and Transformers: Principle, Implementation and Applications (Springer, 2008) [Google Scholar]
 C.R. White, J.W. May, J.S. Colburn, IEEE Microw. Wirel. Compon. Lett. 22, 35 (2012) [CrossRef] [Google Scholar]
 A.M. Elfrgani, R.G. Rojas, in: Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE. (2014), p. 464 [CrossRef] [Google Scholar]
 E. UgarteMuñoz, S. Hrabar, D. SegoviaVargas, in: Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP). (2011), p. 2059 [Google Scholar]
 E. UgarteMunoz et al., IEEE Trans. Antennas Propag. 60, 3490 (2012) [CrossRef] [Google Scholar]
 N. Ayllon et al., IEEE Trans. Microw. Theor. Tech. 59, 2073 (2011) [CrossRef] [Google Scholar]
 E. AvignonMeseldzija, et al., in New Circuits and Systems Conference (NEWCAS), 2015 IEEE 13th International. (2015), p. 1 [Google Scholar]
Cite this article as: Emilie AvignonMeseldzija, Thomas Lepetit, Pietro Maris Ferreira, Fabrice Boust, Negative inductance circuits for metamaterial bandwidth enhancement, EPJ Appl. Metamat. 2017, 4, 9
All Figures
Fig. 1 Equivalent circuit modeling a SRR array: PI network of a transmission line connected, via a mutual inductance, to a RLC series resonant circuit. (L_{p}: loop inductor, C_{p}: loop + lumped capacitor, Z_{NF}: NF impedance, R_{p}: loop resistance). 

In the text 
Fig. 2 Comparison of Sparameters calculated by fullwave simulations with the equivalent circuit of Figure 1 (C_{1} = 0.2 pF, L_{1} = 31.5 nH, M = 18.5 nH, L_{p} = 45 nH, C_{p} = 2 pF and R_{p} = 3 Ω). Insert: Geometry of the calculated SRR. Cell size: 25 × 20 × 25 mm. SRR length: 20 mm, SRR strip width: 2 mm, SRR gap: 1.5 mm. Periodic boundary conditions are assumed in both lateral directions. 

In the text 
Fig. 3 Effective permeability (real part) of a SRR array vs frequency: (1) L_{neg} = 0, C_{p} = 2 pF, R_{NF} = 0 Ω; (2) L_{neg} = −40 nH, C_{p} = 18 pF, R_{NF} = 0 Ω; (3) L_{neg} = −40 nH, C_{p} = 18 pF, R_{NF} = 17 Ω. 

In the text 
Fig. 4 Equivalent circuit modeling a patch array: shortcircuited transmission line connected to a capacitance, thus forming a LC series resonant circuit. (L_{d}: shortcircuit inductor, C_{g}: patch + lumped capacitor, Z_{NF}: NF impedance). 

In the text 
Fig. 5 Phase on reflection of a patch array vs frequency: (1) No negative inductance, C_{g} = C_{gl} = 12.8 pF; (2) L_{neg} = −32.2 nH, C_{g} = C_{g0} = 0.25 pF, R_{NF} 0 Ω; (3) L_{neg} = −32.2 nH, C_{g} = C_{g0} = 0.25 pF, R_{NF} = 3 Ω; (4) L_{neg} = −32.2 nH, C_{g} = C_{g0} = 0.25 pF, R_{NF} = 10 Ω. 

In the text 
Fig. 6 Small signal model of the MOSFET [37]. The three nodes correspond to the Gate (G), Source (S), and Drain (D). 

In the text 
Fig. 7 a) Linvill circuit with MOSFET transistors. b) Smallsignal model of the Linvill circuit. 

In the text 
Fig. 8 Input impedance of the Linvill circuit, Z_{Linv} = Re(Z_{Linv}) + jL_{Linv}ω, assuming g_{m} = 20 mS, L = 40 nH and: (1) R = 0 Ω, f_{Re0} = 900 MHz (2) R = 50 Ω, f_{Re0} = 570 MHz; (3) R = 100 Ω, f_{Re0} = 120 MHz. 

In the text 
Fig. 9 a) Gyrator circuit with MOSFET transistors. b) Smallsignal model of the gyrator circuit. 

In the text 
Fig. 10 Input impedance of the gyrator circuit, Z_{gyr} = Re(Z_{gyr}) + jL_{gyr}ω (1) g_{m} = 7 mS, C = 0.87 pF, f_{Re0} = 239 MHz (2) g_{m} = 15 mS, C = 7.0 pF, f_{Re0} = 152 MHz (3) g_{m} = 30 mS, C = 30 pF, f_{Re0} = 96 MHz. 

In the text 
Fig. 11 Equivalent circuit of the Linvill NIC coupled to the SRR array (AMM). All four nodes and their respective impedance/admittance analysis are represented. 

In the text 
Fig. 12 Poles loci at node B. g_{m} is constant (22 mS). To cancel the real part of Z_{Linv} at 530 MHz, R varies from 90 to 60 Ω when L goes from 5 to 30 nH. The inset shows the evolution of L_{max} with g_{m}. 

In the text 
Fig. 13 Equivalent circuit of the gyrator NII coupled to the patch array (AMC). All three nodes and their respective impedance/admittance analysis are represented. 

In the text 
Fig. 14 Poles loci at node A (g_{m} = 15 mS, C varies from 9 pF to 4 pF when L_{gyr} goes from −40 nH to −20 nH). 

In the text 
Fig. 15 Effective permeability of a SRR array vs. frequency for the following three configurations: (1) Initial SRR array, C_{p} = 2 pF (2) Ideal negative inductance, C_{p} = 18 pF, L_{neg} = −40 nH, R_{NF} = 0 Ω (3) Stable Linvill circuit C_{p} = 4,4 pF, L_{neg} = −24.4 nH, R_{NF} = 66 Ω. 

In the text 
Fig. 16 Phase on reflection of a patch array vs. frequency for the following three configurations: (1) Initial patch array, C_{g} = C_{gl} = 12.8 pF (2) Ideal negative inductance, C_{g} = C_{g0} = 0.25 pF, L_{neg} = −32.2 nH, R_{NF} = 0 Ω (3) Stable gyrator circuit, C_{g0} = 0.25 pF, L_{neg} = −31.9 nH, R_{NF} = 3.2 Ω. 

In the text 
Fig. A.1 Comparison of the simplified and full model of the Linvill circuit from 100 to 900 MHz. Circuit parameters are g_{m} = 20 mS, R = 100 Ω, and L = 40 nH. (Top) Real part of the input impedance. (Bottom) Equivalent inductance of the input impedance. 

In the text 
Fig. A.2 Comparison of the simplified and full model of the gyrator circuit from 100 to 500 MHz. Circuit parameters are g_{m} = 15 mS, and C = 7 pF. (Top) Real part of the input impedance. (Bottom) Equivalent inductance of the input impedance. 

In the text 
Fig. B.1 Single Input Single Output (SISO) configurations of OTA. 

In the text 
Fig. B.2 Linvill circuit: a) published in [42], b) published in [39]. 

In the text 
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