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SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm
In the electronic warfare environment, the performance of ground-based radar target search is seriously degraded due to the existence of smeared spectrum (SMSP) jamming. SMSP jamming is generated by the self-defense jammer on the platform, playing an important role in electronic warfare, making trad...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302396/ https://www.ncbi.nlm.nih.gov/pubmed/37420783 http://dx.doi.org/10.3390/s23125619 |
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author | Wan, Pengfei Liao, Guisheng Xu, Jingwei Fu, Xiaolong |
author_facet | Wan, Pengfei Liao, Guisheng Xu, Jingwei Fu, Xiaolong |
author_sort | Wan, Pengfei |
collection | PubMed |
description | In the electronic warfare environment, the performance of ground-based radar target search is seriously degraded due to the existence of smeared spectrum (SMSP) jamming. SMSP jamming is generated by the self-defense jammer on the platform, playing an important role in electronic warfare, making traditional radars based on linear frequency modulation (LFM) waveforms face great challenges in searching for targets. To solve this problem, an SMSP mainlobe jamming suppression method based on a frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar is proposed. The proposed method first uses the maximum entropy algorithm to estimate the target angle and eliminate the interference signals from the sidelobe. Then, the range-angle dependence of the FDA-MIMO radar signal is utilized, and the blind source separation (BSS) algorithm is used to separate the mainlobe interference signal and the target signal, avoiding the impact of mainlobe interference on target search. The simulation verifies that the target echo signal can be effectively separated, the similarity coefficient can reach more than 90% and the detection probability of the radar is significantly enhanced at a low signal-to-noise ratio. |
format | Online Article Text |
id | pubmed-10302396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103023962023-06-29 SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm Wan, Pengfei Liao, Guisheng Xu, Jingwei Fu, Xiaolong Sensors (Basel) Communication In the electronic warfare environment, the performance of ground-based radar target search is seriously degraded due to the existence of smeared spectrum (SMSP) jamming. SMSP jamming is generated by the self-defense jammer on the platform, playing an important role in electronic warfare, making traditional radars based on linear frequency modulation (LFM) waveforms face great challenges in searching for targets. To solve this problem, an SMSP mainlobe jamming suppression method based on a frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar is proposed. The proposed method first uses the maximum entropy algorithm to estimate the target angle and eliminate the interference signals from the sidelobe. Then, the range-angle dependence of the FDA-MIMO radar signal is utilized, and the blind source separation (BSS) algorithm is used to separate the mainlobe interference signal and the target signal, avoiding the impact of mainlobe interference on target search. The simulation verifies that the target echo signal can be effectively separated, the similarity coefficient can reach more than 90% and the detection probability of the radar is significantly enhanced at a low signal-to-noise ratio. MDPI 2023-06-15 /pmc/articles/PMC10302396/ /pubmed/37420783 http://dx.doi.org/10.3390/s23125619 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Wan, Pengfei Liao, Guisheng Xu, Jingwei Fu, Xiaolong SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm |
title | SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm |
title_full | SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm |
title_fullStr | SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm |
title_full_unstemmed | SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm |
title_short | SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm |
title_sort | smsp mainlobe jamming suppression with fda-mimo radar based on fastica algorithm |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302396/ https://www.ncbi.nlm.nih.gov/pubmed/37420783 http://dx.doi.org/10.3390/s23125619 |
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