IEEE Circuits and Systems Magazine - Q1 2022 - 67
B. AI-Assisted RF Transceiver Sensing
In conventional sensor signal processing, designers
need to select an appropriate filter architecture, such as
averaging filter, notch filter, or infinite impulse response
(IIR) filter, to extract the target information from the detected
signal. A lot of design time and effort is needed
to optimize the filter parameters to realize the optimum
performance. The AI-assisted signal processing method
is promising to enable accurate and cognitive sensing
based on integrated RF transceivers. Different from conventional
design processes, J. Saluja et.al. proposed a
novel supervised machine learning algorithm to design
the gamma filter to eliminate clutters and harmonics in
the demodulated radar signal [100]. As shown in Fig. 35,
the gamma filter is a modified IIR filter with a restricted
feedback architecture. Instead of complicated tuning
for filter parameters, electrocardiogram (ECG) signals
containing accurate heartbeat information are used as
the ground truth to train the filter [100]. The AI-assisted
gamma filter achieved heart rate measurement with
Transmitter 1
Transmitter j
µ
n1
b, k
Modulator
BPSK~16PSK
m1
k
Intelligent Optimal
Control Agent
PA
p1
t, k
ACK
SIR
SIR
ACK
pj
PA
t, k
Modulator
BPSK~16PSK
mj
k
Intelligent Optimal
Control Agent
nj
b, k
µ
µ
Transmitter i
Modulator
ni
b, k
BPSK~16PSK
mi
k
Intelligent Optimal
Control Agent
PA
pi
t, k
SIR
ACK
PA
Power Amplifier
ACK, SIR Feedback
Forward Transmission
Figure 34. An AI-assisted multi-node radar communication system model to maximize the channel utilization and reduce the
power consumption by adaptive rate and power control [153] © 2005 IEEE.
Receiver
1 - µ
Tapped Gamma Delay Line
1 - µ
1 - µ
x0 (n)
x(n)
µµ
z-1
w0
w1
x1 (n)
x2 (n)
+ ++z-1
w2
z-1
wK
+ ++y(n)
Figure 35. The AI-assisted gamma filter architecture designed for clutter and harmonic elimination in demodulated radar signal
[100] © 2019 IEEE.
FIRST QUARTER 2022
IEEE CIRCUITS AND SYSTEMS MAGAZINE
67
xK (n)
IEEE Circuits and Systems Magazine - Q1 2022
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