Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Pengfei, Liao, Guisheng, Xu, Jingwei, Fu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785065035915067392
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
work_keys_str_mv AT wanpengfei smspmainlobejammingsuppressionwithfdamimoradarbasedonfasticaalgorithm
AT liaoguisheng smspmainlobejammingsuppressionwithfdamimoradarbasedonfasticaalgorithm
AT xujingwei smspmainlobejammingsuppressionwithfdamimoradarbasedonfasticaalgorithm
AT fuxiaolong smspmainlobejammingsuppressionwithfdamimoradarbasedonfasticaalgorithm