Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection

This paper first establishes a new complex independent component analysis (cICA) algorithm based on the spatiotemporal extension of complex-valued entropy bound minimization (CEBM) to separate received complex-valued radar signals. Next, we propose a new cICA-based detector with an open structure to...

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Autores principales: Hamzeh Ghahramani, Naser Parhizgar, Bijan Abbasi Arand, Morteza Barari
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/d4c24614911d45c0a1acb1af5cbc9f9a
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spelling oai:doaj.org-article:d4c24614911d45c0a1acb1af5cbc9f9a2021-11-22T01:10:39ZConvolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection1563-514710.1155/2021/6191303https://doaj.org/article/d4c24614911d45c0a1acb1af5cbc9f9a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6191303https://doaj.org/toc/1563-5147This paper first establishes a new complex independent component analysis (cICA) algorithm based on the spatiotemporal extension of complex-valued entropy bound minimization (CEBM) to separate received complex-valued radar signals. Next, we propose a new cICA-based detector with an open structure to find Swerling model targets, lognormal targets, and sea-surface small floating targets in coherent high-resolution maritime surveillance radars. The detector encountered three major problems when adopting cICA for detection and solved them using three effective suggestions. After performing cICA on the time series received by the radar, we obtained two different sources. Using the first and second theoretical and empirical moment estimates of the K-distribution, the target was selected between these two output source signals. Detector performance was verified quantitatively and qualitatively using the real-life IPIX radar database. Comprehensive experiments on this database with synthetic injected targets showed promising results. The computational time and sample size dependency of the proposed cICA algorithm were also discussed. Finally, a comparison of the detector with several novel detectors for detecting sea-surface floating small targets of the IPIX radar database demonstrated the proposed detector’s superiority.Hamzeh GhahramaniNaser ParhizgarBijan Abbasi ArandMorteza BarariHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
Hamzeh Ghahramani
Naser Parhizgar
Bijan Abbasi Arand
Morteza Barari
Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection
description This paper first establishes a new complex independent component analysis (cICA) algorithm based on the spatiotemporal extension of complex-valued entropy bound minimization (CEBM) to separate received complex-valued radar signals. Next, we propose a new cICA-based detector with an open structure to find Swerling model targets, lognormal targets, and sea-surface small floating targets in coherent high-resolution maritime surveillance radars. The detector encountered three major problems when adopting cICA for detection and solved them using three effective suggestions. After performing cICA on the time series received by the radar, we obtained two different sources. Using the first and second theoretical and empirical moment estimates of the K-distribution, the target was selected between these two output source signals. Detector performance was verified quantitatively and qualitatively using the real-life IPIX radar database. Comprehensive experiments on this database with synthetic injected targets showed promising results. The computational time and sample size dependency of the proposed cICA algorithm were also discussed. Finally, a comparison of the detector with several novel detectors for detecting sea-surface floating small targets of the IPIX radar database demonstrated the proposed detector’s superiority.
format article
author Hamzeh Ghahramani
Naser Parhizgar
Bijan Abbasi Arand
Morteza Barari
author_facet Hamzeh Ghahramani
Naser Parhizgar
Bijan Abbasi Arand
Morteza Barari
author_sort Hamzeh Ghahramani
title Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection
title_short Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection
title_full Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection
title_fullStr Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection
title_full_unstemmed Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection
title_sort convolutive complex-valued independent component analysis for nonlinear radar signal processing and maritime weak target detection
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/d4c24614911d45c0a1acb1af5cbc9f9a
work_keys_str_mv AT hamzehghahramani convolutivecomplexvaluedindependentcomponentanalysisfornonlinearradarsignalprocessingandmaritimeweaktargetdetection
AT naserparhizgar convolutivecomplexvaluedindependentcomponentanalysisfornonlinearradarsignalprocessingandmaritimeweaktargetdetection
AT bijanabbasiarand convolutivecomplexvaluedindependentcomponentanalysisfornonlinearradarsignalprocessingandmaritimeweaktargetdetection
AT mortezabarari convolutivecomplexvaluedindependentcomponentanalysisfornonlinearradarsignalprocessingandmaritimeweaktargetdetection
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