An Effective Method for Weak Multi-target Detection and Tracking in Clutter Environment

Chun Li, Xia Bai*, Juan Zhao, Tao Shan

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Weak target detection and tracking is a difficult problem, especially in the case of multi-target and strong clutters. Track-before-detect (TBD) is the common method to deal with this problem, and this paper proposes a new effective method based on TBD. Firstly, keystone transform (KT) and phase gradient autofocus (PGA) are used for migration compensation to improve the signal-to-noise ratio (SNR) of moving targets. Then dynamic programming based TBD (DP-TBD) with joint intensity-spatial CFAR (J-CA-CFAR) is presented for noncoherent integration, where J-CA-CFAR uses both intensity and spatial information to achieve automatic target detection. Finally, the effectiveness of the proposed method was demonstrated by experimental results on real data.

源语言英语
主期刊名ICDSP 2022 - 2022 6th International Conference on Digital Signal Processing
出版商Association for Computing Machinery
134-139
页数6
ISBN(电子版)9781450395809
DOI
出版状态已出版 - 25 2月 2022
活动6th International Conference on Digital Signal Processing, ICDSP 2022 - Virtual, Online, 中国
期限: 25 2月 202227 2月 2022

出版系列

姓名ACM International Conference Proceeding Series
Par F180471

会议

会议6th International Conference on Digital Signal Processing, ICDSP 2022
国家/地区中国
Virtual, Online
时期25/02/2227/02/22

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