Joint Angle-Doppler Estimation for Passive Radar Based on Compressed Sensing

Lijing Ni*, Yuan Feng, 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

摘要

In this paper, a fast target angle and Doppler joint estimation method based on compressed sensing is proposed for passive radar. The joint estimation of multi-dimensional parameters enables improved resolution without introducing additional matching overhead. However, the dimension of the over-complete dictionary of multi-dimensional parameters is too large, resulting in a large computational complexity. In the proposed method, following segmented pulse compression, a multi-measurement vector model is constructed for the angle dimension, and then, a sparse representation model is formulated for the Doppler dimension to obtain the Doppler frequency of the targets. Additionally, the reconstruction algorithms are improved by using regularization operation. Simulated and experimental results demonstrate that the proposed method can accurately estimate both angle and Doppler parameters, while reducing the error term, reducing the dictionary dimension and achieving shorter running time.

源语言英语
主期刊名2025 7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025
出版商Institute of Electrical and Electronics Engineers Inc.
1134-1139
页数6
ISBN(电子版)9798331510381
DOI
出版状态已出版 - 2025
已对外发布
活动7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025 - Harbin, 中国
期限: 18 4月 202520 4月 2025

出版系列

姓名2025 7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025

会议

会议7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025
国家/地区中国
Harbin
时期18/04/2520/04/25

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