Distributed Array Radar System High Precision Jamming Cancellation Method Based on Sub-Sampling Interval Time Delay Compensation

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The distributed array radar system can effectively suppress the mainlobe jamming based on the high angle resolution provided by multiple independent radars. However, the excessively large equivalent aperture size may lead to time delay errors from system time asynchrony because the distance between the independent radars are too far. The jamming cancellation performance will severely decline when these time delay errors exist. Precision of traditional compensation methods such as the correlation method are limited by the sampling interval, and other methods such as the sub-band beamforming method cannot completely eliminate the influence of time delay errors either. In this paper, a new method is proposed to compensate for the sub-sampling interval time delay in the distributed array radar system to improve jamming cancellation performance. In the proposed method, the receiving signal of each radar is processed in frequency domain to overcome the precision limitation. Then the linear fitting method is utilized to reduce influence of noise to achieve high estimation accuracy. Simulations and experimental results illustrate the effectiveness of the proposed method on distributed array radar system jamming cancellation.

Original languageEnglish
Pages (from-to)194-200
Number of pages7
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

  • DISTRIBUTED ARRAY RADAR
  • JAMMING SUPPRESSION
  • LINEAR FITTING
  • TIME DELAY ESTIMATION

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