Multi-Pulse Radar Detection Method Against Time-Modulated Deceptive Jamming

In this paper, a multi-pulse radar detection method against time-modulated deceptive jamming is proposed. Time-modulated deceptive jamming for the radar using linear frequency modulation (LFM) signals has become a research hotspot in radar countermeasures due to the advantages of its simple structure and strong self-adaptive capability. The jamming signal generated by time modulation exhibits the same time-frequency characteristics as the true echo signal, thereby enabling it to obtain the same cumulative gain, which makes the processing results containing multiple false targets after pulse compression. However, after pulse compression of LFM signals with different LFM slopes, as the radar adopts multiple pulses with different LFM slopes, the energy focusing on the false targets' location will be disrupted due to the mapping relationship of time-frequency domain, and that of real target will still be accumulated. Based on this characteristic, in this paper, by sequentially transmitting LFM signals with different LFM slopes, pulse compressing their echo signals and combining and analyzing the pulsecompressed signals, the false targets' energy can be significantly reduced and real target's energy can be effectively saved. To verify the effectiveness of the anti-jamming method, several simulation results considering multi-jamming parameters are provided.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/iwrfat65352.2025.11102880
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Pulse Radar Detection Method Against Time-Modulated Deceptive Jamming

Ronghong Jin, Yu Xia, Xudong Bai, Xiaonan Zhao et al.
Radar Systems and Signal Processing
article

Multi-Pulse Radar Detection Method Against Time-Modulated Deceptive Jamming

Ronghong Jin, Yu Xia, Xudong Bai, Xiaonan Zhao, Jingfeng Chen, Tong Wu
article en

Abstract

In this paper, a multi-pulse radar detection method against time-modulated deceptive jamming is proposed. Time-modulated deceptive jamming for the radar using linear frequency modulation (LFM) signals has become a research hotspot in radar countermeasures due to the advantages of its simple structure and strong self-adaptive capability. The jamming signal generated by time modulation exhibits the same time-frequency characteristics as the true echo signal, thereby enabling it to obtain the same cumulative gain, which makes the processing results containing multiple false targets after pulse compression. However, after pulse compression of LFM signals with different LFM slopes, as the radar adopts multiple pulses with different LFM slopes, the energy focusing on the false targets' location will be disrupted due to the mapping relationship of time-frequency domain, and that of real target will still be accumulated. Based on this characteristic, in this paper, by sequentially transmitting LFM signals with different LFM slopes, pulse compressing their echo signals and combining and analyzing the pulsecompressed signals, the false targets' energy can be significantly reduced and real target's energy can be effectively saved. To verify the effectiveness of the anti-jamming method, several simulation results considering multi-jamming parameters are provided.

Northwestern Polytechnical University (CN), Shanghai Jiao Tong University (CN), Wuhan Ship Development & Design Institute (CN)
Openalex Percentile: Top 71%
Radar Systems and Signal 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.