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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Hindawi Limited
2021
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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) |
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Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 |
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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 |
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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 |
_version_ |
1718418370667216896 |