Interrupted-sampling repeater jamming(ISRJ) suppression method based on segmented FRESH filtering target detection

Haibo Liu, Jiamian Li, Shanshan Lu, Feng Li*, Liang Zhang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Interrupted-sampling repeater jamming (ISRJ) based on digital radio frequency storage has coherent characteristics, which can generate a large number of false targets after pulse compression, making radar detection ineffective. To solve this problem, an algorithm based on segmented FRESH filtering and target detection is proposed. On the basis of Pulse Doppler processing of the received signal, the algorithm detects the range Doppler matrix and obtain the range positions of multiple targets. According to the detection results, the received signal is processed by piecewise parallel adaptive cyclic stationary filtering. The multi-group filtering results are intercepted and spliced to achieve ISRJ suppression in complex electromagnetic environment. The simulation of the real field environment shows that the method can productively suppress the jamming and has good anti-jamming effect when the false target and the real target are distributed in different positions.

Original languageEnglish
Pages (from-to)594-600
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

  • FRESH filtering
  • Interrupted-sampling repeater jamming
  • jamming suppression
  • target detection

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