An Improved CLEAN Algorithm for Multi-Target Detection in LFM Pulse Radar

Xingyu Chen, Chen Yao, Guoqiang Zhao*, Hao Liu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1858-1863
Number of pages6
JournalIET Conference Proceedings
Volume2023
Issue number47
DOIs
Publication statusPublished - 2023
EventIET International Radar Conference 2023, IRC 2023 - Chongqing, China
Duration: 3 Dec 20235 Dec 2023

Keywords

  • CLEAN
  • LFM
  • Multi-target detection
  • Parameter estimation

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