The non-cooperative passive detection system obtains the reference signal by purifying the direct-path signal, and the purity of the reference signal will make a difference to the performance of target detection. A novel algorithm for reference signal purification is proposed based on sparse characteristics. First, the mixed signal received by the reference channel is transformed to the fractional Fourier domain. The sparse characteristics of direct-path signal and multipath signals are analyzed in the fractional Fourier domain. Then, the estimation of parameters from derivation of peaks in the fractional Fourier domain will be used to reconstruct the direct-path signal. Finally, simulation results demonstrate that the proposed algorithm is effective and outperforms the temporal adaptive filter as well as the purified reference signal is distortionless.
YING Tao
,
WANG Xuebao
,
TIAN Wei
,
ZHOU Cheng
,
HOU Xiaoyang
. A novel algorithm for reference signal purification in non-cooperative passive detection[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022
, 43(2)
: 325025
-325025
.
DOI: 10.7527/S1000-6893.2021.25025
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