Digital Signal Processing Reference
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Fig. 3.8
Comparison of performances due to the fixed and adaptive waveforms in Scenario I in
terms of the (
a
) squared Mahalanobis distance, (
b
) weighted trace of Cramér-Rao bound matrix,
and (
c
) squared upper bound on sparse-error, respectively
3.5.3 Redistributions of Signal and Target Energies
To understand the reason behind the performance improvement due to the adap-
tive waveform design, we looked into the energy-distribution of the transmitted sig-
nal and effective target-return across different subchannels both before and after
the waveform design. We used the subset of Pareto-optimal solutions that satis-
fied all the three objective functions at 0 dB to exemplify the results on energy-
redistribution for both the target scenarios in Fig.
3.10
.
We represent the effective transmit-signal energy at different subchannels as
2
,
for
l
ε
S
,l
=|
a
l
|
=
0
,
1
,...,L
−
1
.
(3.42)
On the other hand, the effective target-returns across different subchannels are con-
sidered as
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