Low Noise Amplifier for Wifi 802.11a

Assets

References

Specifications

Metric Target Obtained
Center Frequency (fc) 7 GHz 7.02 GHz
Bandwidth (BW) 100 MHz < BW < 300 MHz 158 MHz
S11 to 50Ω Matching < -12 dB -26.4 dB
Gain > 14 dB 14.3 dB
NF < 2.1 dB 1.1 dB
Input Referred IIP3 > 1 dBm 19.8 dBm
Power Dissipation < 6 mW 5 mW

Research

The goal of a Low Noise Amplifier (LNA) is to boost a weak incoming signal while adding as little Noise as possible. In other words, minimize the ratio of SNR at the input to the SNR at the output, this is called the Noise Figure (nf).

nf=SNRinSNRout

Transmission lines and antennas are generally designed with 50Ω Output Impedance (Rs). To minimize reflections at the input to the low noise amplifier at Radio Frequency (RF), the Input Impedance (Rin) must also be designed to 50Ω. Since the gates of MOSFETs are Capacitive, the input impedance is large, making traditional amplifier architectures less effective.

One solution is to use a Common-Source Amplifier and place a Shunt Resistor at the input to form a resistive matching network. This isn't a great solution as Resistors are very noisy and the Noise Figure exceeds 3dB, defeating the purpose of a low noise amplifier.

NF2+4γgmRs

In a Common-Gate Amplifier the input is at the source of the input MOSFET, which gives Rin=1/gm. Input matching can be achieved by just sizing and biasing the MOSFET appropriately, though it is important to note that gm and bias current must be large to achieve 50Ω. When Rs=Rin, the noise figure is about 3dB. NF can be further reduced by increasing gm even more, sacrificing power and input matching.

NF=1+γgmRs+4RsR1(1+1gmRs)2

Another option is an Inductor degenerated Common-Source Amplifier. The source degeneration inductor resonates with Cgs of the input MOSFET, which leave a primarily real resistance at the Resonance Frequency. For perfect matching, the inductor must be large. This problem can be alleviated by adding an off-chip series gate inductor. Noise figure can be low with minimal power consumption, just with slightly worse and more complex input matching.

NF=1+gmRsγ(ω0ωT)2

where,

source: RF Microelectronics

Design

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In this design, a single-stage cascade common-source LNA topology with inductive source degeneration, is chosen to achieve the desired performance metrics. For input matching of the CS LNA, the following must hold true

Cgs=1ω02(L1+Lg)Cpadgm=RinCgsL1(Cgs+CpadCgs)2

Assuming L1 is a bond wire with an inductance of 0.5 nH, and Lg is 5 nH,

L1 = 0.5 nH
Lg = 5 nH
Cpad = 60 fF
f = 7 GHz
Rs = 50 ohm

Cgs = 1/((2 * pi * f)^2 * (Lg + L1)) - Cpad
gm = (Rs * Cgs)/L1 * ((Cgs + Cpad)/Cgs)^2
ft = gm / ((2 * pi) * Cgs)

With a simple parametric analysis, this gm and ft is achieved with a 44μm/40nm device with 1.6mA of bias current. A channel length of 40nm was used to reduce short channel effects. Putting this design together shows a S11 of -21dB @ 7.2GHz. To reduce the center frequency, the device width can be increased to in turn increase Cgs. A width of 50μm results in a S11 of -21.4dB @ 7GHz. The bandwidth achieved is 270MHz. Note that increasing the bias current can improve the S11 and bandwidth without adjusting the center frequency, but is unnecessary in this case since matching. May need to reconsider if more output gain is needed.

At the output of the LNA, Ld and Cd form an LC tank resonate to maximize the gain at the desired fc. The LC tank is also in parallel with Cmixer and Cgs Cds of cascode MOSFET. The latter is assumed to be much smaller and not considered.

Ld = 1.2 nH
f = 7 GHz
Cmixer = 45fF

Cd = 1 / (Ld * (2 * pi * f)^2) - Cmixer

The gain is lower than expected, at about 13dB @ 7GHz. As noted earlier, increasing the bias current to 2.5mA improves the gain to above 14.3dB.

Component Size
Lg 5 nH
L1 0.5 nH
Ld 1.2 nH
Cd 386 nH
M1-3 50 um / 40 nm
Ib 2.5 mA
Rb 20 kΩ
Cp 100 fF

Simulations

1. Testbench

The testbench consists of two ports from analogLib, 1μF ac coupling capacitors, and the mixer load capacitance.

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Port 0

Port 1

Variables

2. S-Parameters

Choosing Analyses

Direct Plot Form

3. IIP3

Choosing Analyses

run pss simulation

Direct Plot Form

run pss and pac simulation

Direct Plot Form

4. Noise

Choosing Analyses

Direct Plot Form

Results

!600

processed with Pandas and Matplotlib, see git repo

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