An improved adaptive CFAR detector for non-homogeneous environment

Xuan Du, Yong Li, Wei Cheng

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The conventional variability index constant false alarm rate (VI-CFAR) algorithm experiences significant degradation in detection performance when interference targets are located on both sides of the reference window. To mitigate this challenge, this paper proposes an enhanced VITM-CFAR algorithm which integrates the trimmed mean CFAR (TM-CFAR) method, evaluating the clutter environment of the cell under test (CUT) and adaptive deleting the front and rear reference half-windows. The method further categorizes the clutter edge environment into high and low-power areas. Depending on the partial deletion of reference units, the smallest-of CFAR (SO-CFAR) method is employed in multi-target environment and low-power region of the clutter edge, while the greatest-of CFAR (GO-CFAR) method is utilized in high-power zones. Monte Carlo simulation experiments are conducted to assess the effectiveness of the VITM-CFAR method. The results indicate that the proposed method has low CFAR loss under homogeneous environment, and is more robust under non-homogeneous environment, showcasing superior performanc against multi-target interference and clutter edge protection.

源语言英语
主期刊名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331515669
DOI
出版状态已出版 - 2024
活动2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国
期限: 22 11月 202424 11月 2024

出版系列

姓名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区中国
Zhuhai
时期22/11/2424/11/24

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