Frequency Diverse Array Target Localization Based on IPSO-BP

For the traditional target localization algorithms of frequency diverse array (FDA), there are some problems such as angle and distance coupling in single-frequency receiving FDA mode, large amount of calculation, and weak adaptability. This paper introduces a good learning and predictive method of...

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Main Authors: Qinghua Liu, Kai Ding, Bingsen Wu, Quanmin Xie
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2020/2501731
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author Qinghua Liu
Kai Ding
Bingsen Wu
Quanmin Xie
author_facet Qinghua Liu
Kai Ding
Bingsen Wu
Quanmin Xie
author_sort Qinghua Liu
collection DOAJ
description For the traditional target localization algorithms of frequency diverse array (FDA), there are some problems such as angle and distance coupling in single-frequency receiving FDA mode, large amount of calculation, and weak adaptability. This paper introduces a good learning and predictive method of target localization by using BP neural network on FDA, and FDA-IPSO-BP neural network algorithm is formed. The improved particle swarm optimization (IPSO) algorithm with nonlinear weights is developed to optimize the neural network weights and biases to prevent BP neural network from easily falling into local minimum points. In addition, the decoupling of angle and distance with single frequency increment is well solved. The simulation experiments show that the proposed algorithm has better target localization effect and convergence speed, compared with FDA-BP and FDA-MUSIC algorithms.
format Article
id doaj-art-5111570093ee45eebce29732dd1a63ab
institution Kabale University
issn 1687-5869
1687-5877
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-5111570093ee45eebce29732dd1a63ab2025-02-03T06:46:38ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/25017312501731Frequency Diverse Array Target Localization Based on IPSO-BPQinghua Liu0Kai Ding1Bingsen Wu2Quanmin Xie3State and Local Joint Engineering Research Center for Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin 541004, ChinaScience and Technology on Near-Surface Detection Laboratory, Wuxi 214035, ChinaState and Local Joint Engineering Research Center for Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin 541004, ChinaOrdnance NCO Academy, Army Engineering University, Wuhan 430075, ChinaFor the traditional target localization algorithms of frequency diverse array (FDA), there are some problems such as angle and distance coupling in single-frequency receiving FDA mode, large amount of calculation, and weak adaptability. This paper introduces a good learning and predictive method of target localization by using BP neural network on FDA, and FDA-IPSO-BP neural network algorithm is formed. The improved particle swarm optimization (IPSO) algorithm with nonlinear weights is developed to optimize the neural network weights and biases to prevent BP neural network from easily falling into local minimum points. In addition, the decoupling of angle and distance with single frequency increment is well solved. The simulation experiments show that the proposed algorithm has better target localization effect and convergence speed, compared with FDA-BP and FDA-MUSIC algorithms.http://dx.doi.org/10.1155/2020/2501731
spellingShingle Qinghua Liu
Kai Ding
Bingsen Wu
Quanmin Xie
Frequency Diverse Array Target Localization Based on IPSO-BP
International Journal of Antennas and Propagation
title Frequency Diverse Array Target Localization Based on IPSO-BP
title_full Frequency Diverse Array Target Localization Based on IPSO-BP
title_fullStr Frequency Diverse Array Target Localization Based on IPSO-BP
title_full_unstemmed Frequency Diverse Array Target Localization Based on IPSO-BP
title_short Frequency Diverse Array Target Localization Based on IPSO-BP
title_sort frequency diverse array target localization based on ipso bp
url http://dx.doi.org/10.1155/2020/2501731
work_keys_str_mv AT qinghualiu frequencydiversearraytargetlocalizationbasedonipsobp
AT kaiding frequencydiversearraytargetlocalizationbasedonipsobp
AT bingsenwu frequencydiversearraytargetlocalizationbasedonipsobp
AT quanminxie frequencydiversearraytargetlocalizationbasedonipsobp