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

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)387-392
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

  • DIGITAL RADIO FREQUENCY MEMORY
  • DISTRIBUTED ARRAY RADAR
  • VELOCITY ESTIMATION

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