1. Introduction
The radar systems are an electromagnetic system for the detection and location of the objects, and a low-noise amplifier (LNA) is considered a key component in its receiver front end [
1,
2,
3]. Radar applications require a LNA, which can well process both weak and strong echos of the received signal. Specifically, in the case of an incoming weak signal, the LNA should provide high gain and minimum additive noise to increase the signal-to-noise ratio (SNR) of the signal. In contrast, for short-distance objects with high-power input signal, it is expected to operate at a low gain, which can exhibit good linearity or a wide dynamic range to avoid the saturation of the receiver chain. Therefore, a mechanism of gain control is necessary in the LNA design to achieve both these two objectives simultaneously, which cannot be solved with the common fixed-gain LNAs. In addition, in the case of sensing platforms, variable-gain LNAs (VGLNAs) research is essential because gain problems may occur depending on distance [
4,
5,
6].
The VGLNAs have been developed for achieving a wide dynamic range as well as covering the entire detection range without the receiver signal saturation [
7,
8,
9,
10,
11,
12,
13]. In [
7,
8], the authors proposed a method known as current steering, which controls gain through reducing the bias current and transconductance of the cascoded transistors. Another method is using an extra digital signal [
9,
10,
11]. However, the use of the external control signal can increase receiver complexity and cause additional power consumption from digital circuits. Authors in [
12] presented an automatic mechanism of gain control using an analog signal inside the circuit without external excitation. Nevertheless, the requirement of a multi-transistor adaptive biasing circuit leads to high design complexity, a large occupying area, and low accuracy in the discrete-circuit implementation. In [
13], gain is automatically adjusted by a Gilbert-cell-based topology. However, this structure is also complicated and not suitable for discrete-circuit deployment.
In this paper, a single-ended VGLNA on the discrete-circuit implementation of a bipolar junction transistor (BJT) is designed with an extended dynamic range for a military radar receiver front-end at 6 GHz, which is in the C-Band, with the advantages of long-distance detection and low atmospheric attenuation, as compared to a higher frequency band. The VGLNA deploys a novel adaptive-biasing (ADB) circuit, which adopts a small part of the output analog signal to control gain in an automatic manner without another additional signal. The proposed ADB network is mainly a combination of a AC-DC converter and a resistive divider, which is one of the resistors realized by the equivalent ohmic operation of a junction field effect transistor (JFET). The main principle is to use the DC load signal from the rectifier to manipulate the equivalent resistor of the JFET source as JFET operates in the ohmic region. Following the design method, the dynamic range of LNA is extended significantly in comparison with that of the fixed-gain counterpart. It is also important to note that our research focuses on investigating and implementing the printed circuit board (PCB)-level LNA that relies on discrete components. PCB-level LNAs with ADB circuits have not been extensively studied, but the discrete circuits can offer advantages in terms of high performance, low complexity, and manufacturing cost compared to the integrated circuits.
2. Extended Dynamic Range with Lower Biasing Base Voltage
The generic schematic of a BJT-based LNA is shown in
Figure 1a, where the active device is voltage-biased with two DC sources, i.e.,
and
for base and collector terminations, respectively. For single-frequency operation, the dynamic range is commonly characterized by the input 1 dB compression point (IP1dB), which determines the input power at which LNA gain is dropped by 1 dB. In radar detection applications, it is always desirable to extend the IP1dB of LNA for processing near-distance objects with strong reflections in the linear region. The increase in the dynamic range, referred to as the increase in IP1dB, relates intimately to the decrease in the base biasing voltage
, which can be demonstrated by considering the variation of BJT transconductance within small-to-large signal regimes. Assuming
is the thermal voltage, transconductance
is highest with small-signal driving, approximating
and reducing as the input signal grows large. The large-signal transconductance
associated with the input signal magnitude is then given by [
14]
where
denotes the saturated current,
x is the base signal voltage amplitude, and
is independent of
and is defined as in [
14]. It is clear that
decreases with the increase in
x or the signal magnitude
. Additionally, the amplitude of
depends on
as described in (
1). The slope of
with respect to
x is negative and can be calculated as follows:
From (
4), with the independence of
on
, and assuming that the
is greater than
, then
becomes larger than
. In other words,
in the case of the biasing voltage
is dropped quicker than
with
. As a result, IP1dB is higher with lower biasing voltage
as intuitively illustrated in
Figure 1b. The gain curve with respect to
is more steep and descends to its IP1dB at a lower input power point, i.e.,
. However, LNA is also required to provide high gain to amplify the weak signals for long-distance detection to increase SNR, which is only obtained with high
, for example,
instead of
in
Figure 1b. Therefore, in order to achieve two targets concurrently, i.e., a wide dynamic range for processing the entire detection range without receiver saturation and a high initial gain for the weak signal amplification, a mechanism for changing the LNA gain according to the input power level has become a reliable approach and has been widely used in the radar detection applications. In this paper, the principle of reducing the base biasing voltage
with the increase in input power is used to design the VGLNA.
3. VGLNA Design with ADB Circuit
The proposed VGLNA structure is shown in
Figure 2, which commonly consists of input and output matching networks (MNs) to provide noise and power matchings for low noise figure (NF) and high gain. Specifically, the input MN is designed to match an intermediate impedance between noise and power impedances, which can provide a balanced performance of NF and gain, simultaneously, even in the whole variation range of
.
Instead of biasing the base terminal of BJT with a fixed DC source, LNA deploys an ADB circuit, which takes a small power proportion of the output signal through a coupler to generate a DC voltage for base biasing. As expected, the output DC voltage from the ADB circuit relates inversely to the input power, i.e., as the input power grows, reduces, and such variation leads to an extension of IP1dB.
The detail schematic of the proposed ADB circuit is shown in
Figure 3. This network deploys an AC-DC converter, which rectifies the coupled signal into DC positive voltage
. The rectifier topology utilizes a Schottky diode in a shunt, which was investigated in [
15,
16]. The RF coupled power
is initially delivered through a rectifier input matching network to obtain a maximum signal across the diode. Then, the diode rectifies the negative half cycle of the signal, and the overall energy is stored in
. The combined network of a RF choke and
acts as a DC-pass filter, which smooths the rectified voltage. The DC output voltage
determines the positive terminal of the inverse source
and creates negative voltage
on the other side to control the JFET current flowing in a voltage divider network. Finally, the voltage divider yields
, exhibiting an inverse variation with the coupled signal power as shown in
Figure 3.
In order to clarify the relation between the resulting voltage
and the input power
, it is assumed that the coupler has the coupling coefficient of
(dB) and LNA exhibits an initial gain of
G(dB). The coupled power
(dB) is calculated as follows:
From (
5),
and
are in the same variation, and an increase in
leads to an increase in
as a result of the AC-DC converting process of the rectifier [
15]. The DC inverse source
then generates
with the following relation:
For a depletion-mode JFET, the value of
must be higher than
to yield a negative value of
for controlling the JFET current, which is calculated at different operating regions as follows [
17]:
for saturation region and
for the ohmic region, where
is the maximum saturation current, and
is the pinched-off voltage. If JFET operates in the saturation region,
is independent of
as in (
7), and apart from satisfying (
7),
must abide by Kirchhoff’s voltage law in the voltage divider network as follows:
Because
is an increasing function of
, then an increment of
leads to higher
, and
will be reduced through the decrease in
to satisfy (
9). As another case of ohmic region,
is dependent of
, and JFET acts as a variable resistor
, whose resistance value is defined as
where
denotes the drain resistance at zero gate bias, i.e.,
. The voltage divider is then composed of three resistors (
,
, and
). As a result,
can be calculated as follows:
It can be seen from (
10) and (
11) that
has the same variation with
and reduces with the increase in
. In general, any operating region of JFET, the voltage divider can produce
exhibiting an opposite variation with
as well as the input power level. Because the required base biasing voltage
is quite small for a BJT, just around
practically, JFET is predicted to operate in the ohmic region. Additionally, the values of
, and
should be set such that at the starting time with
, the maximum
must be in the appropriate base–voltage range of the chosen BJT.
4. Implementation, Simulation and Experiment
For verification, the LNA is implemented on the Taconic TLY substrate (
,
mm) with a realistic BJT model operating at 6 GHz.
Figure 4 shows the entire schematic of the proposed VGLNA. The input and output MNs deploy L-type sections of transmission lines (TLINs) to provide accurate noise and power matches for low noise figure (NF) and high gain, respectively. The RF chokes used in
Figure 2 and
Figure 3 are substituted by
TLINs for minimizing losses at 6 GHz. The model and value of the components are listed in
Table 1 for simulation and measurement.
The stability factor
of the proposed VGLNA is shown in
Figure 5, which is higher than 1 within a tested wide bandwidth (5–7 GHz), indicating stable operation at the target frequency.
Figure 6 presents the variation of
,
,
, and
according to the input power
spreading from
dBm to 0 dBm. It can be seen that the coupled power
exhibits a positive slope with
and a high-enough value at
dBm so that the rectifier can detect and rectify the wave. As a result,
increases to the highest value of
V at
dBm; with
V,
changes from
V to
V during the input power range. This voltage controls the JFET current and generates the biasing voltage
within a range from 873 mV to 837 mV as
increases. To determine the IP1dB gain of the proposed VGLNA, fixed-bias LNA version of the same BJT is simulated at several different values of
in the extracted range. The biasing voltage
is first assigned to the highest value of the
range, and its IP1dB is extracted. Then, this IP1dB is mapped to the
range to determine the corresponding
. Subsequently, the LNA is operated at that new
with a new IP1dB. The process is repeated until the IP1dB gain is obtained as summarized in
Figure 7. As shown in
Figure 8a, with the adaptive-gain mechanism, the IP1dB gain is extended by
dB, while also achieving a high gain of around
dB at a low input power, which exhibits a clear advantage as compared to the fixed-bias counterpart at only
V.
For experimental validation, a prototype is fabricated and tested. The circuit layout is shown in
Figure 8b. We use a total of three DC power supplies, i.e.,
,
, and
. A network analyzer is used first for measuring the S-parameters of the VGLNA. In this test, the initial gain of the VGLNA and its frequency response are observed. Then, the prototype is measured with a spectrum analyzer and a continuous-wave generator at the target frequency of 6 GHz to verify the adaptive gain behavior of the LNA. The trace of
is performed thanks to a digital multimeter, which is used to calculate the IP1dB gain. Finally, the VGLNA experiences a noise analysis to determine its NF, which is important for practical radar applications.
4.1. S-Parameters
The S-parameters measurement setup is shown in
Figure 9a, where three DC power supplies are
V, and
V as in the simulation. The analysis of S-parameters is performed by a network analyzer N5230C, and the results at
dBm excitation are shown in
Figure 9b. As observed, the reflection coefficients
,
are about
dBm and
dBm, respectively, at 6 GHz, confirming good impedance matching at the input and output terminals for power transmission. The transmission coefficient
of the proposed VGLNA is achieved at 15.5 dB, denoting a high gain during the small-signal regime at the design frequency. The proposed LNA also exhibits an initial high gain across a very wide bandwidth, i.e., over 10 dB within a bandwidth from 0.5 GHz to 7.2 GHz, which is expected to operate well at different frequency bands. In addition, the VGLNA is compact, with its dimension shown in
Figure 9c.
4.2. IP1dB Gain and Linearity
In order to evaluate IP1dB gain of our VGLNA at the target frequency, the prototype is measured under a signal generator and a spectrum analyzer. Similar to the S-parameters measurement setup, the circuit is applied with the same DC supplying voltages. A digital multimeter is used to measure the biasing voltage
across the different input power levels. By sweeping the input power from −50 dBm to 0 dBm, a graph of gain and output power versus the input power is shown in
Figure 10a. Note that these gain and output powers have different values from
. The results show a similar tendency to the simulation ones, and it can be seen that the VGLNA always exhibits a gain of >10 dB within the overall input range. There is a slight difference in the initial gain between the two measurement schemes, i.e., using the S-parameters network analyzer and using the spectrum analyzer; due to their accuracy, there is instability in the cable loss and device characteristics. The overall range of
is shown in
Figure 10b. Increasing the input power from −50 dBm to 0 dBm, the observed voltage delivered to the base for biasing decreases from 858 mV to 798 mV. As a result, the DC collector current decreases, denoting a gain reduction mechanism in the LNA operation. It should also be noted that the similarity of the 1.2 dB lower measured gain (in comparison with the simulated gain while simulated) and the measured collector currents is due to the insertion loss of the coupler, which is not modeled accurately in the simulation.
Finally, the IP1dB gain of the proposed VGLNA is determined by the steps described in
Figure 7 with a measured range of
shown in
Figure 10b thanks to a fixed-bias prototype. The operation of three gain modes with respect to three different
is shown in
Figure 11a. It can be seen that IP1dB is −8 dBm, −4 dBm and −1.5 dBm with
of 858 mV, 824 mV, and 810 mV, respectively, and it is confirmed that VGLNA using the ADB circuit operates with an extended IP1dB of 6.5 dB as compared to a counterpart with fixed
of 858 mV.
4.3. Noise Figure
The noise figure is a very important aspect when assess an LNA design. In addition of JFET and the diode components, the noise figure performance of the proposed design is apparently degraded as compared to the single-BJT LNA. Applying the same supplying voltages, the VGLNA exhibits a measured NF of 1.8 dB at 6 GHz as shown in
Figure 11b, which is in a good agreement with the simulated one. It is also noted that the lowest NF is not recorded at the target frequency because the input matching network is designed at the intermediate impedance in order to provide a good balance between NF and power performance.