Velocity Estimation of DRFM Jamming Source Based on Doppler Differences in Distributed Array Radar

Weiming Pu, Ziming Zheng, Dezhi Tian, Zhennan Liang*, Quanhua Liu

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

Jamming sensing plays a crucial role in radar electronic countermeasure, requiring the estimation of parameters such as jamming type and motion state of jamming source. Among various jamming types, digital radio frequency memory (DRFM) jamming modulates false doppler phase and distance, making it challenging to estimate the true velocity of the jamming source. This paper proposes a method for estimating the velocity of DRFM jamming source using the doppler differences in distributed array radar. The radar units in distributed radar system are deployed sparsely and work cooperatively. The true doppler phase of DRFM jamming source varies across radars, while the modulated false phase remains consistent within radars. Collaborating multiple radars can effectively eliminate the false phase. Distributed array radar systems typically have long baselines, making precise localization of radar units and achieving system synchronization challenging. The algorithm proposed in this paper does not rely on the location of each radar and does not require coherence processing of echoes among radars, thereby reducing constraints on the distributed array radar system. The effectiveness of the algorithm is validated through simulations in this paper.

源语言英语
页(从-至)387-392
页数6
期刊IET Conference Proceedings
2023
47
DOI
出版状态已出版 - 2023
活动IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国
期限: 3 12月 20235 12月 2023

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