Refined Time-Frequency Feature Matching for Interrupted Sampling Repeater Jamming Suppression

Interrupted sampling repeater jamming (ISRJ), a common form of coherent jamming, can create numerous false targets surrounding the real target after pulse compression, significantly affecting the target detection ability of radar. To solve this problem, a refined time-frequency (TF) feature matching method based on the intra-pulse frequency agile (IPFA) waveform for ISRJ suppression is proposed. Firstly, the TF template is constructed based on the transmitted waveform TF distribution. The feature information is extracted by shifting the TF template and matching the result of the binarization of the echo TF distribution. Then, the target echo is located according to the feature information extracted from the TF template under different shift times. Next, the time-domain signal is extracted by the inverse TF transformation of the echo TF distribution, which is matched to the template of the target location. The undisturbed signal is extracted to construct the range-dimension filter. Finally, the extracted time domain signal is filtered for jamming suppression and target protection. Simulation results demonstrate that the proposed method performs better ISRJ suppression than conventional methods. Meanwhile, the proposed method effectively mitigates the compound jamming composed of different ISRJs, demonstrating strong resistance to jamming.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868289
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Refined Time-Frequency Feature Matching for Interrupted Sampling Repeater Jamming Suppression

Yuhang Gao, Qibo Deng, Huayu Fan, Quanhua Liu et al.
Speech and Audio Processing
article

Refined Time-Frequency Feature Matching for Interrupted Sampling Repeater Jamming Suppression

Yuhang Gao, Qibo Deng, Huayu Fan, Quanhua Liu, Erke Mao, Lixiang Ren
article en

Abstract

Interrupted sampling repeater jamming (ISRJ), a common form of coherent jamming, can create numerous false targets surrounding the real target after pulse compression, significantly affecting the target detection ability of radar. To solve this problem, a refined time-frequency (TF) feature matching method based on the intra-pulse frequency agile (IPFA) waveform for ISRJ suppression is proposed. Firstly, the TF template is constructed based on the transmitted waveform TF distribution. The feature information is extracted by shifting the TF template and matching the result of the binarization of the echo TF distribution. Then, the target echo is located according to the feature information extracted from the TF template under different shift times. Next, the time-domain signal is extracted by the inverse TF transformation of the echo TF distribution, which is matched to the template of the target location. The undisturbed signal is extracted to construct the range-dimension filter. Finally, the extracted time domain signal is filtered for jamming suppression and target protection. Simulation results demonstrate that the proposed method performs better ISRJ suppression than conventional methods. Meanwhile, the proposed method effectively mitigates the compound jamming composed of different ISRJs, demonstrating strong resistance to jamming.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Speech and Audio Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.