A Bistatic Radar Passive Jamming Identification Method based on HRRP Feature

The passive jamming put by the ship at sea can deceive the bistatic radar as a decoy false target, which makes it difficult to detect and capture the real target. The HRRP feature, as an important basis for the radar to identify the passive jamming, has been verified on the monostatic radar. In order to explore the performance advantage of HRRP feature in passive jamming identification under bistatic radar, this paper constructs 18 features, based on which the feature differentiation and similarity are comprehensively evaluated based on Relief algorithm and correlation coefficient in order to select highly efficient identification features, and the SVM is used to validate the effect of feature selection. The simulation proves that the selected feature combination under bistatic radar can effectively improve the jamming identification performance.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868673
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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A Bistatic Radar Passive Jamming Identification Method based on HRRP Feature

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article

A Bistatic Radar Passive Jamming Identification Method based on HRRP Feature

Jiaxiang Zhang, Zhennan Liang, Bo Wang, Tianjun Zhang, Quanhua Liu, Xinrui Han
article en

Abstract

The passive jamming put by the ship at sea can deceive the bistatic radar as a decoy false target, which makes it difficult to detect and capture the real target. The HRRP feature, as an important basis for the radar to identify the passive jamming, has been verified on the monostatic radar. In order to explore the performance advantage of HRRP feature in passive jamming identification under bistatic radar, this paper constructs 18 features, based on which the feature differentiation and similarity are comprehensively evaluated based on Relief algorithm and correlation coefficient in order to select highly efficient identification features, and the SVM is used to validate the effect of feature selection. The simulation proves that the selected feature combination under bistatic radar can effectively improve the jamming identification performance.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 55%
Radar Systems and Signal Processing
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