TY - JOUR
T1 - An Improved CLEAN Algorithm for Multi-Target Detection in LFM Pulse Radar
AU - Chen, Xingyu
AU - Yao, Chen
AU - Zhao, Guoqiang
AU - Liu, Hao
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - During the process of multi-target detection with high resolution radar, weak targets are difficult to detect from high range resolution profile as they are masked by the sidelobe leakage of strong targets. This paper proposes an improved CLEAN algorithm based on frequency-domain correlation, addressing the challenges in multi-target detection within linear frequency modulated pulse radar. Similar to the CLEAN method, the improved CLEAN method can precisely estimate the range and radar cross section of the strongest target in the echo signal. The proposed method sequentially eliminates sidelobe interference from strong targets, facilitating the separation and detection of strong and weak targets. In situations with densely distributed targets and significant differences in radar cross section, the proposed method also maintains robust multi-target detection performance. Simulations validate the effectiveness of the proposed method.
AB - During the process of multi-target detection with high resolution radar, weak targets are difficult to detect from high range resolution profile as they are masked by the sidelobe leakage of strong targets. This paper proposes an improved CLEAN algorithm based on frequency-domain correlation, addressing the challenges in multi-target detection within linear frequency modulated pulse radar. Similar to the CLEAN method, the improved CLEAN method can precisely estimate the range and radar cross section of the strongest target in the echo signal. The proposed method sequentially eliminates sidelobe interference from strong targets, facilitating the separation and detection of strong and weak targets. In situations with densely distributed targets and significant differences in radar cross section, the proposed method also maintains robust multi-target detection performance. Simulations validate the effectiveness of the proposed method.
KW - CLEAN
KW - LFM
KW - Multi-target detection
KW - Parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=85203120490&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1367
DO - 10.1049/icp.2024.1367
M3 - Conference article
AN - SCOPUS:85203120490
SN - 2732-4494
VL - 2023
SP - 1858
EP - 1863
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -