1. Introduction
Silicon-germanium heterojunction bipolar transistors (SiGe HBTs) have demonstrated promising suitability for a variety of wireless and communication applications, exhibiting good radio-frequency (RF) performance parameters such as high unity-gain frequency (
fT) and maximum oscillation frequency (
fMAX) [1-3]. Moreover, in order to investigate their potential usage in extreme environment (e.g. space), radiation effects of SiGe HBTs on the electrical characteristics have been studied in the literature [
2,
4] and the research findings show that SiGe HBTs can maintain performance up to tens of krad of ionizing dose [4-6]. This property is fundamentally attributed to device physics that the operation of SiGe HBTs is not highly dependent on the quality of the oxide layer as typical metal-oxide-semiconductor (MOS)-based devices [
2,
7]. Still, SiGe HBTs undergo performance degradation in device characteristics due to total ionizing dose (TID) and the important mechanism is the trap generation in the emitter-base spacer and the shallow trench insulation (STI) oxide, leading to an increase in the base current [8-10].
One of the essential circuit blocks in a radio-frequency (RF) applications is the low-noise amplifier (LNA). It is designed to present matched impedance to the input for good signal reception, providing sufficient gain for the subsequent stages and minimizing noise contribution for better noise performance of the receiver system [
11,
12]. Regarding radiation effects, SiGe LNAs suffer from variations in input and output impedances, reduced signal gain, and an increase in noise figure (NF) [
13], most of which are attributed to the degradations of active devices such as SiGe HBTs [
14,
15]. Whereas there have been some papers of TID effects on SiGe LNAs in the literature, however, few studies have been conducted with a primary focus on the modeling side of the changes in the device parameters. The analysis of the effect of TID on the parameters of SiGe HBTs will be helpful to understand and evaluate performance changes and it will be beneficial for developing radiation-hardening design techniques.
This paper is organized as follows.
Section 2 explains the schematic and the analysis of the LNA, using the small-signal models SiGe HBTs which will be used for modeling TID-induced performance degradations. In
Section 3, details of the experimental set-up and performance variations of the SiGe LNA due to X-ray irradiation will be presented. In
Section 4, based on the small-signal model and the equivalent circuit, we discuss modeling results and analyze the impact of each parameter of a SiGe HBT on LNA performance. Lastly,
Section 5 summarizes and concludes the findings of this work.
2. LNA Schematic and Device Modeling
An RF LNA is the first gain stage in a receiver and it plays a key role in 1) impedance matching between the antenna and the chip and 2) the system's noise performance. At the same time, it should provide sufficient gain to maintain the quality and strength of the incoming signal. In the aspect of small-signal operation, circuit performance is measured with S-parameters: S
21, S
11, and S
22 represent power gain, input matching, and output matching, respectively [
16]. In addition, noise performance is read, using noise figure (NF) in the unit of dB [
17]. Linearity properties of an LNA are important as well, but they are out of scope in this study.
With SiGe technology, the target LNA employed SiGe HBTs for good achieving gain, matching, and noise optimization. The schematic of the SiGe LNA for narrowband applications is shown in
Figure 1. Overall, the LNA is based on a cascode common-emitter (Q
1 and Q
2) stage as a main stage [
5] and the second stage (Q
3 and Q
4) act as a buffer for output impedance matching. In the former, Q
1 is the input transistor that receives the signal. Q
1, C
BE, L
E, and L
B collectively form the input matching network and the optimum noise impedance simultaneously. Q
2 is a cascode stage to improve gain performance and to suppress the Miller effects associated with the parasitic base-collector capacitance C
μ1 (see in
Figure 2) [
18]. The emitter inductor L
E generates real impedance at the base terminal of Q
1 and provides negative feedback for stability and the base-to-emitter capacitance C
BE along with C
π1 (see in
Figure 2) is be tuned for input and noise matching. The second branch is configured as an emitter-follower stage, providing decoupling between the first stage and the load. Lc
1 and Lc
2 are optimized for peak gain and resonance of the first stage at the operation frequency, respectively. Lastly, C
1 and C
3 are for dc blocking and R
BIAS is for biasing Q
4.
For a theoretical analysis, the small-signal model of a SiGe HBT was constructed as shown in
Figure 2 [
19,
20]. Whereas the complete small-signal equivalent model is much more complex, critical device parameters for modeling were selected for simple, yet insightful equations at the cost of accuracy. In this model, g
m, r
π, R
B, r
O, C
π, and C
μ are the small-signal transconductance, the emitter-to-base resistance, the base parasitic resistance, the collector-to-emitter resistance, the base-to-emitter capacitance, and the base-to-collector capacitance, respectively. Regarding noise sources
is the thermal noise of the R
B,
is shot noise associated with I
B, and
is shot noise associated with I
C.
In order to conduct a theoretical analysis, equations to derive device parameters are presented below [
21]. The transconductance (g
m) is obtained by taking the derivative of I
C with respect to V
BE and R
B is determined by using Z-parameters. And C
π and C
μ can be determined from Y-parameters. To extract device parameters, the following equations were derived and applied to design kit models of SiGe HBTs. In the following equations, β and ω refers to the current gain and the angular frequency, respectively.
The parameters of the SiGe HBT used in the LNA were extracted and small-signal modeling was conducted, using the equivalent circuit and Equations (1)-(6) [
19,
21]. Then, the next step is to match the circuit performance such as matching, gain, and noise figure, using design equations. Analyze input and output impedance, gain and noise with small signal model parameters. First, the input impedance is an essential factor that ensures signal transfer with minimum reflections, and it is derived with L
B, L
E, C
BE, C
π1, and g
m1 under the assumption of very large r
o and C
1 and negligible C
μ. The input impedance of the LNA is shown in Equation (7), where the real and the imaginary terms should be matched to 50 Ω and 0 Ω eventually.
To analyze the output impedance of the LNA, the circuit is simplified as illustrated in
Figure 3a. The cascode part of the first branch is treated as Z
CAS and it is assumed to be a very large impedance or an open. Then, the remaining circuitry can be modeled as a parallel RLC as shown in
Figure 3b. The output impedance (Z
OUT) equation is given by
From
Figure 3b, the equivalent model contains three components and their expressions are given as follows:
From Equations (8) and (12), R
B4 > 1/g
m4, and as shown in
Figure 2, (R
B4 + 1/sC
2 + sL
C1) and 1/g
m4 are connected in parallel. Therefore, the magnitude of Z
OUT varies between R
B4||1/g
m4 and 1/g
m4 in the range of operation frequency. That is, the output impedance is affected by R
B4 and g
m4 of Q
4. This is confirmed in detail by the degradation modeling in
Section 4.
The gain of the LNA is derived in Equation (13), which is a simplified gain expression without the contribution of the second branch. From this, it is shown that the gain of the LNA is affected by g
m1, g
m2, C
π1, and C
π2.
Achieving low noise contribution from an LNA is important requirement. In
Figure 2, the thermal noise of the base resistor (R
B) and the shot noise of the base and collector currents are included, which are the main sources of noise in SiGe HBTs. While there are other factors that affect noise performance under radiation effects, such as changes in LNA gain, noise matching, biasing conditions and etc., however, the noise sources in the small-signal model of the SiGe HBTs are considered for modeling noise figure of the LNA. The device noise equations and output noise voltage equation are shown as follows.
Using the above analysis and equations, the performance degradation of the SiGe LNA due to TID was modeled and the results are presented in the next section.
4. Analysis and Discussion
The degradation characteristics of SiGe HBTs due to ionizing radiation tend to decrease in g
m and increase resistances and capacitances. Based on this trends, simulations were conducted using the small-signal model of SiGe HBTs. The input and the output matching are affected by R
B, C
π, and g
m as shown in Equation (7) and (8). Changes of S
11 (ΔS
11) are influenced by ΔR
B with 73% and ΔC
π1 with 23% as illustrated in
Figure 9a. For output matching, ΔS
22 has the largest dependency on g
m4 by 60%, followed by R
B (30%) and g
m5 (5%) (see
Figure 9b). In
Figure 9, other parameters contributed to ΔS
11 and ΔS
22, but their portion is only 4% and 5%, respectively.
Gain changes (ΔS
21) was mostly affected by the decrease in g
m (see
Figure 10a). ΔS
21 is almost dominated by Δg
m1 (about 60%), whereas the contributions of other transconductance and C
π1 much less. Regarding noise modeling, since NF is proportional to resistance and inversely proportional to g
m, it can be predicted that noise figure performance degrades as g
m decreases and R
B increases (see
Figure 10b). As expected, the small-signal model simulation shows that Δg
m1 and ΔR
B1 have the most influence on NF. Like the input and output return loss, NF and S
21 in
Figure 10 shows remaining contributions of 10% and 4%, respectively. In the case of NF, the derivation assumes perfect impedance matching conditions. Due to TID irradiation, however, this condition may be valid as inferred from the degradations in S
11. Therefore, to improve the modeling accuracy of NF will require more parameters to be included in the analysis stage.
Table 2 compares how much a parameter in the small-signal model contributes to circuit degradation. In the table, C
π refers to the combined effect of the ΔC
π1 and ΔC
π4, whereas g
m is for Δg
m1, Δg
m2, and Δg
m4. It shows the relative portion of each parameter to the changes in circuit performance caused by TID, assuming that all SiGe HBTs exhibit degradations with the same ratio. For input matching and NF, R
B had the most significant impact on performance degradation by 73% and 56%, respectively. For output matching and power gain, g
m contributed the most significant portion by 65% and 88%, respectively.
Table 3 shows the variation in parameter values for SiGe HBTs before and after the X-ray irradiation. In this analysis, all devices are assumed to have the same rate of degradation regardless of bias conditions or size. The above discussion, in turn, implies that proper modeling of key device parameters can predict the overall degradation characteristics of a SiGe LNA with a reasonable accuracy. With prior knowledge of device parameter values over TID irradiation, the model will better estimate the performance degradation of the circuit.
Author Contributions
Conceptualization, T.K. and I.S.; methodology, T.K., I.S.; software, J.L.; validation, T.K., M.-K.C., and I.S.; formal analysis, T.K., J.L., and I.S.; investigation, T.K., M.-K.C.; resources, D.M.F., J.D.C., and I.S.; data curation, J.L.; writing—original draft preparation, T.K., G.R., and I.S.; writing—review and editing, M.-K.C. and I.S.; visualization, T.K.; supervision, J.D.C. and I.S.; project administration, J.D.C. and I.S.; funding acquisition, J.D.C. and I.S. All authors have read and agreed to the published version of the manuscript.