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Angle-micro-Doppler frequency image of underwater target multi-highlight combining with sparse reconstruction
Aiming at the problem of low angle resolution and difficult extraction of time-varying features in underwater target multi-highlight acoustic imaging, an acoustic imaging method of multi-highlight angle-micro-Doppler frequency for underwater target combining with sparse reconstruction is proposed by...
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Published in: | Applied acoustics 2022-01, Vol.188, p.108563, Article 108563 |
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container_title | Applied acoustics |
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creator | Kou, Siwei Feng, Xi'an |
description | Aiming at the problem of low angle resolution and difficult extraction of time-varying features in underwater target multi-highlight acoustic imaging, an acoustic imaging method of multi-highlight angle-micro-Doppler frequency for underwater target combining with sparse reconstruction is proposed by introducing sparse decomposition and time–frequency analysis into array signal processing. According to the difference between the underwater target highlight reflected wave modulation form caused by the micro-Doppler effect and time–frequency distribution, a kind of MicroDopplerlet time–frequency atom matching the complex modulation of the highlight reflection wave is designed. The multi-component signal processing is transformed into multiple single component signal processing problems by separating the highlight reflected wave from the echo by MP decomposition. In addition, a two-dimensional subspace processing method based on MP (MP-MUSIC) and a time–frequency distribution based on MP (MP-WVD) are constructed for sparsely reconstructed reflected wave of one single highlight, which are used to extract azimuth angle, pitch angle, micro-Doppler frequency information and acoustic image respectively. The proposed method has the advantages of noise robustness, high resolution and the ability to solve the underdetermined problem. The simulation results show that the proposed method can distinguish the multi-highlight structure of underwater target, and estimate the highlight angle, micro-Doppler frequency and micro-motion parameters of the target components correctly. |
doi_str_mv | 10.1016/j.apacoust.2021.108563 |
format | article |
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According to the difference between the underwater target highlight reflected wave modulation form caused by the micro-Doppler effect and time–frequency distribution, a kind of MicroDopplerlet time–frequency atom matching the complex modulation of the highlight reflection wave is designed. The multi-component signal processing is transformed into multiple single component signal processing problems by separating the highlight reflected wave from the echo by MP decomposition. In addition, a two-dimensional subspace processing method based on MP (MP-MUSIC) and a time–frequency distribution based on MP (MP-WVD) are constructed for sparsely reconstructed reflected wave of one single highlight, which are used to extract azimuth angle, pitch angle, micro-Doppler frequency information and acoustic image respectively. The proposed method has the advantages of noise robustness, high resolution and the ability to solve the underdetermined problem. The simulation results show that the proposed method can distinguish the multi-highlight structure of underwater target, and estimate the highlight angle, micro-Doppler frequency and micro-motion parameters of the target components correctly.</description><identifier>ISSN: 0003-682X</identifier><identifier>EISSN: 1872-910X</identifier><identifier>DOI: 10.1016/j.apacoust.2021.108563</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Micro-Doppler effect ; Parameter estimation ; Sparse decomposition ; Underwater acoustic Imaging</subject><ispartof>Applied acoustics, 2022-01, Vol.188, p.108563, Article 108563</ispartof><rights>2021 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-e102273b3730c970bbdceb7734876ffd7ebd7b8349467ec894d41ed353af30383</citedby><cites>FETCH-LOGICAL-c360t-e102273b3730c970bbdceb7734876ffd7ebd7b8349467ec894d41ed353af30383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Kou, Siwei</creatorcontrib><creatorcontrib>Feng, Xi'an</creatorcontrib><title>Angle-micro-Doppler frequency image of underwater target multi-highlight combining with sparse reconstruction</title><title>Applied acoustics</title><description>Aiming at the problem of low angle resolution and difficult extraction of time-varying features in underwater target multi-highlight acoustic imaging, an acoustic imaging method of multi-highlight angle-micro-Doppler frequency for underwater target combining with sparse reconstruction is proposed by introducing sparse decomposition and time–frequency analysis into array signal processing. According to the difference between the underwater target highlight reflected wave modulation form caused by the micro-Doppler effect and time–frequency distribution, a kind of MicroDopplerlet time–frequency atom matching the complex modulation of the highlight reflection wave is designed. The multi-component signal processing is transformed into multiple single component signal processing problems by separating the highlight reflected wave from the echo by MP decomposition. In addition, a two-dimensional subspace processing method based on MP (MP-MUSIC) and a time–frequency distribution based on MP (MP-WVD) are constructed for sparsely reconstructed reflected wave of one single highlight, which are used to extract azimuth angle, pitch angle, micro-Doppler frequency information and acoustic image respectively. The proposed method has the advantages of noise robustness, high resolution and the ability to solve the underdetermined problem. The simulation results show that the proposed method can distinguish the multi-highlight structure of underwater target, and estimate the highlight angle, micro-Doppler frequency and micro-motion parameters of the target components correctly.</description><subject>Micro-Doppler effect</subject><subject>Parameter estimation</subject><subject>Sparse decomposition</subject><subject>Underwater acoustic Imaging</subject><issn>0003-682X</issn><issn>1872-910X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkMtqwzAQRUVpoenjF4p-QKlk2Zaza0ifEOimheyELI0dBdtyJbkhf1-FtOsuhmFmuJe5B6E7RueMsvJ-N1ej0m4KcZ7RjKVlVZT8DM1YJTKyYHRzjmaUUk7KKttcoqsQdmmkWVHMUL8c2g5Ib7V35NGNYwceNx6-Jhj0AdtetYBdg6fBgN-rmK5R-RYi7qcuWrK17bZLFbF2fW0HO7R4b-MWh1H5ANiDdkOIftLRuuEGXTSqC3D726_R5_PTx-qVrN9f3lbLNdG8pJEAo1kmeM0Fp3ohaF0bDbUQPK9E2TRGQG1EXfF8kZcCdLXITc7A8IKrhlNe8WtUnnxTqhA8NHL0KYo_SEblEZrcyT9o8ghNnqAl4cNJCOm7bwteBm0TCTA2JYnSOPufxQ8Si3yG</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Kou, Siwei</creator><creator>Feng, Xi'an</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202201</creationdate><title>Angle-micro-Doppler frequency image of underwater target multi-highlight combining with sparse reconstruction</title><author>Kou, Siwei ; Feng, Xi'an</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-e102273b3730c970bbdceb7734876ffd7ebd7b8349467ec894d41ed353af30383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Micro-Doppler effect</topic><topic>Parameter estimation</topic><topic>Sparse decomposition</topic><topic>Underwater acoustic Imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kou, Siwei</creatorcontrib><creatorcontrib>Feng, Xi'an</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><jtitle>Applied acoustics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kou, Siwei</au><au>Feng, Xi'an</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Angle-micro-Doppler frequency image of underwater target multi-highlight combining with sparse reconstruction</atitle><jtitle>Applied acoustics</jtitle><date>2022-01</date><risdate>2022</risdate><volume>188</volume><spage>108563</spage><pages>108563-</pages><artnum>108563</artnum><issn>0003-682X</issn><eissn>1872-910X</eissn><abstract>Aiming at the problem of low angle resolution and difficult extraction of time-varying features in underwater target multi-highlight acoustic imaging, an acoustic imaging method of multi-highlight angle-micro-Doppler frequency for underwater target combining with sparse reconstruction is proposed by introducing sparse decomposition and time–frequency analysis into array signal processing. According to the difference between the underwater target highlight reflected wave modulation form caused by the micro-Doppler effect and time–frequency distribution, a kind of MicroDopplerlet time–frequency atom matching the complex modulation of the highlight reflection wave is designed. The multi-component signal processing is transformed into multiple single component signal processing problems by separating the highlight reflected wave from the echo by MP decomposition. In addition, a two-dimensional subspace processing method based on MP (MP-MUSIC) and a time–frequency distribution based on MP (MP-WVD) are constructed for sparsely reconstructed reflected wave of one single highlight, which are used to extract azimuth angle, pitch angle, micro-Doppler frequency information and acoustic image respectively. The proposed method has the advantages of noise robustness, high resolution and the ability to solve the underdetermined problem. The simulation results show that the proposed method can distinguish the multi-highlight structure of underwater target, and estimate the highlight angle, micro-Doppler frequency and micro-motion parameters of the target components correctly.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.apacoust.2021.108563</doi><oa>free_for_read</oa></addata></record> |
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subjects | Micro-Doppler effect Parameter estimation Sparse decomposition Underwater acoustic Imaging |
title | Angle-micro-Doppler frequency image of underwater target multi-highlight combining with sparse reconstruction |
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