TY - GEN
T1 - BLOCK ADAPTIVE SUBSPACE PURSUIT METHOD FOR WALL CLUTTER MITIGATION
AU - Liao, Jiancheng
AU - Zeng, Xiaolu
AU - Yang, Xiaopeng
AU - Yin, Zixiang
AU - Gong, Junbo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Through-the-wall radar can detect and locate targets behind obstacles, which has been widely applied in various civil and military applications. However, wall reflections are usually stronger than those of the targets, making it very challenging to extract the target information. To tackle the problem, this paper proposes an adaptive wall clutter mitigation method. First, the discrete prolate spheroidal sequence basis is used to model wall clutter due to its superiority in modeling the spatially extended property of the walls. Then, by incorporating the compressed sensing technique, the subspace pursuit algorithm is combined with block and adaptive iteration to estimate wall clutter. In an adaptive manner, the proposed algorithm greatly eases the requirement on priors and thus improves the applicability in practice. Practical experiments commendably validate the effectiveness and superiority of the proposed method.
AB - Through-the-wall radar can detect and locate targets behind obstacles, which has been widely applied in various civil and military applications. However, wall reflections are usually stronger than those of the targets, making it very challenging to extract the target information. To tackle the problem, this paper proposes an adaptive wall clutter mitigation method. First, the discrete prolate spheroidal sequence basis is used to model wall clutter due to its superiority in modeling the spatially extended property of the walls. Then, by incorporating the compressed sensing technique, the subspace pursuit algorithm is combined with block and adaptive iteration to estimate wall clutter. In an adaptive manner, the proposed algorithm greatly eases the requirement on priors and thus improves the applicability in practice. Practical experiments commendably validate the effectiveness and superiority of the proposed method.
KW - Wall clutter mitigation
KW - compressed sensing (CS)
KW - discrete prolate spheroidal sequence (DPSS)
KW - subspace pursuit (SP)
UR - https://www.scopus.com/pages/publications/85195364908
U2 - 10.1109/ICASSP48485.2024.10446259
DO - 10.1109/ICASSP48485.2024.10446259
M3 - Conference contribution
AN - SCOPUS:85195364908
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 8646
EP - 8650
BT - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Y2 - 14 April 2024 through 19 April 2024
ER -