Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing
Due to the low-cost and compact size, millimeter-wave radar is gaining increasing attention in automotive applications. Compared with the array imaging technique, synthetic aperture radar (SAR) takes advantage of high resolution, low system complexity, and is an important powerful tool in automotive...
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Veröffentlicht in: | IEEE journal of selected topics in signal processing 2023-03, Vol.17 (2), p.445-457 |
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creator | Zhang, Bangjie Xu, Gang Zhou, Rui Zhang, Hui Hong, Wei |
description | Due to the low-cost and compact size, millimeter-wave radar is gaining increasing attention in automotive applications. Compared with the array imaging technique, synthetic aperture radar (SAR) takes advantage of high resolution, low system complexity, and is an important powerful tool in automotive radar imaging. In this paper, a high-resolution MIMO SAR imaging algorithm is proposed in the framework of Doppler-division multiplexing (DDM), where a novel multi-channel back-projection (BP) approach is presented for coherent multi-channel image integration. In the scheme, the DDM is applied on transmitter and Doppler filtering is employed to separate echoes of different transmitters on one receiver. Then the proposed multi-channel BP algorithm is divided into two parts. The first step corresponds to the BP SAR imaging on each channel, effectively dealing with the problem of near-field and wide-angle focusing. As follows, digital beamforming (DBF) and beampattern synthesis based on alternating direction method of multipliers (ADMM) is used for multi-channel SAR image coherent fusion. Experiments using real-measured data from an automotive radar system with a two-transmitter-eight-receiver array validate the effectiveness of the proposed algorithm. |
doi_str_mv | 10.1109/JSTSP.2022.3207902 |
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Compared with the array imaging technique, synthetic aperture radar (SAR) takes advantage of high resolution, low system complexity, and is an important powerful tool in automotive radar imaging. In this paper, a high-resolution MIMO SAR imaging algorithm is proposed in the framework of Doppler-division multiplexing (DDM), where a novel multi-channel back-projection (BP) approach is presented for coherent multi-channel image integration. In the scheme, the DDM is applied on transmitter and Doppler filtering is employed to separate echoes of different transmitters on one receiver. Then the proposed multi-channel BP algorithm is divided into two parts. The first step corresponds to the BP SAR imaging on each channel, effectively dealing with the problem of near-field and wide-angle focusing. As follows, digital beamforming (DBF) and beampattern synthesis based on alternating direction method of multipliers (ADMM) is used for multi-channel SAR image coherent fusion. Experiments using real-measured data from an automotive radar system with a two-transmitter-eight-receiver array validate the effectiveness of the proposed algorithm.</description><identifier>ISSN: 1932-4553</identifier><identifier>EISSN: 1941-0484</identifier><identifier>DOI: 10.1109/JSTSP.2022.3207902</identifier><identifier>CODEN: IJSTGY</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Automotive engineering ; Automotive radar ; Automotive synthetic aperture radar (SAR) ; back-projection (BP) ; Beamforming ; digital beamforming (DBF) ; Doppler-division multiplexing (DDM) ; Echoes ; High resolution ; Image resolution ; Imaging ; Imaging techniques ; Millimeter waves ; MIMO communication ; Multiplexing ; Radar ; Radar equipment ; Radar imaging ; Signal processing algorithms ; Synthetic aperture radar ; Transmitters</subject><ispartof>IEEE journal of selected topics in signal processing, 2023-03, Vol.17 (2), p.445-457</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-e9c64bf8611f8a5d42b3d8582c204398ec99c05d278e67970eedc7472843b9753</citedby><cites>FETCH-LOGICAL-c295t-e9c64bf8611f8a5d42b3d8582c204398ec99c05d278e67970eedc7472843b9753</cites><orcidid>0000-0002-9011-388X ; 0000-0001-6415-7005 ; 0000-0003-3478-2744 ; 0009-0005-0399-8755 ; 0000-0001-9875-051X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9895327$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9895327$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang, Bangjie</creatorcontrib><creatorcontrib>Xu, Gang</creatorcontrib><creatorcontrib>Zhou, Rui</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Hong, Wei</creatorcontrib><title>Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing</title><title>IEEE journal of selected topics in signal processing</title><addtitle>JSTSP</addtitle><description>Due to the low-cost and compact size, millimeter-wave radar is gaining increasing attention in automotive applications. Compared with the array imaging technique, synthetic aperture radar (SAR) takes advantage of high resolution, low system complexity, and is an important powerful tool in automotive radar imaging. In this paper, a high-resolution MIMO SAR imaging algorithm is proposed in the framework of Doppler-division multiplexing (DDM), where a novel multi-channel back-projection (BP) approach is presented for coherent multi-channel image integration. In the scheme, the DDM is applied on transmitter and Doppler filtering is employed to separate echoes of different transmitters on one receiver. Then the proposed multi-channel BP algorithm is divided into two parts. The first step corresponds to the BP SAR imaging on each channel, effectively dealing with the problem of near-field and wide-angle focusing. As follows, digital beamforming (DBF) and beampattern synthesis based on alternating direction method of multipliers (ADMM) is used for multi-channel SAR image coherent fusion. Experiments using real-measured data from an automotive radar system with a two-transmitter-eight-receiver array validate the effectiveness of the proposed algorithm.</description><subject>Algorithms</subject><subject>Automotive engineering</subject><subject>Automotive radar</subject><subject>Automotive synthetic aperture radar (SAR)</subject><subject>back-projection (BP)</subject><subject>Beamforming</subject><subject>digital beamforming (DBF)</subject><subject>Doppler-division multiplexing (DDM)</subject><subject>Echoes</subject><subject>High resolution</subject><subject>Image resolution</subject><subject>Imaging</subject><subject>Imaging techniques</subject><subject>Millimeter waves</subject><subject>MIMO communication</subject><subject>Multiplexing</subject><subject>Radar</subject><subject>Radar equipment</subject><subject>Radar imaging</subject><subject>Signal processing algorithms</subject><subject>Synthetic aperture radar</subject><subject>Transmitters</subject><issn>1932-4553</issn><issn>1941-0484</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1PwjAYhRejiYj-Ab1p4vWwfduu7SWCHxgIRDBcLqN0UNxW6Dai_97xEa_ekzfPOSc5QXBPcIcQrJ4-prPppAMYoEMBC4XhImgRxUiImWSXB00hZJzT6-CmLDcYcxER1gp2ozqrbNhbJ0VhMvSc6O9w4t3G6Mq6AnWzlfO2WucodR7l-TzZG9StK5e7yjZyNBiN0bT7iQZ5srLFCs0bGPXddpsZH_bt3paHmGNJ8_ppkNvgKk2y0tydbzv4en2Z9d7D4fht0OsOQw2KV6FROmKLVEaEpDLhSwYLupRcggbMqJJGK6UxX4KQJhJKYGOWWjABktGFEpy2g8dT7ta7XW3KKt642hdNZQwSOFeSRdBQcKK0d2XpTRpvvc0T_xsTHB-mjY_Txodp4_O0jenhZLLGmH-DkopTEPQPEW91PA</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Zhang, Bangjie</creator><creator>Xu, Gang</creator><creator>Zhou, Rui</creator><creator>Zhang, Hui</creator><creator>Hong, Wei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-9011-388X</orcidid><orcidid>https://orcid.org/0000-0001-6415-7005</orcidid><orcidid>https://orcid.org/0000-0003-3478-2744</orcidid><orcidid>https://orcid.org/0009-0005-0399-8755</orcidid><orcidid>https://orcid.org/0000-0001-9875-051X</orcidid></search><sort><creationdate>20230301</creationdate><title>Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing</title><author>Zhang, Bangjie ; Xu, Gang ; Zhou, Rui ; Zhang, Hui ; Hong, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-e9c64bf8611f8a5d42b3d8582c204398ec99c05d278e67970eedc7472843b9753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Automotive engineering</topic><topic>Automotive radar</topic><topic>Automotive synthetic aperture radar (SAR)</topic><topic>back-projection (BP)</topic><topic>Beamforming</topic><topic>digital beamforming (DBF)</topic><topic>Doppler-division multiplexing (DDM)</topic><topic>Echoes</topic><topic>High resolution</topic><topic>Image resolution</topic><topic>Imaging</topic><topic>Imaging techniques</topic><topic>Millimeter waves</topic><topic>MIMO communication</topic><topic>Multiplexing</topic><topic>Radar</topic><topic>Radar equipment</topic><topic>Radar imaging</topic><topic>Signal processing algorithms</topic><topic>Synthetic aperture radar</topic><topic>Transmitters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Bangjie</creatorcontrib><creatorcontrib>Xu, Gang</creatorcontrib><creatorcontrib>Zhou, Rui</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Hong, Wei</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE journal of selected topics in signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Bangjie</au><au>Xu, Gang</au><au>Zhou, Rui</au><au>Zhang, Hui</au><au>Hong, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing</atitle><jtitle>IEEE journal of selected topics in signal processing</jtitle><stitle>JSTSP</stitle><date>2023-03-01</date><risdate>2023</risdate><volume>17</volume><issue>2</issue><spage>445</spage><epage>457</epage><pages>445-457</pages><issn>1932-4553</issn><eissn>1941-0484</eissn><coden>IJSTGY</coden><abstract>Due to the low-cost and compact size, millimeter-wave radar is gaining increasing attention in automotive applications. Compared with the array imaging technique, synthetic aperture radar (SAR) takes advantage of high resolution, low system complexity, and is an important powerful tool in automotive radar imaging. In this paper, a high-resolution MIMO SAR imaging algorithm is proposed in the framework of Doppler-division multiplexing (DDM), where a novel multi-channel back-projection (BP) approach is presented for coherent multi-channel image integration. In the scheme, the DDM is applied on transmitter and Doppler filtering is employed to separate echoes of different transmitters on one receiver. Then the proposed multi-channel BP algorithm is divided into two parts. The first step corresponds to the BP SAR imaging on each channel, effectively dealing with the problem of near-field and wide-angle focusing. As follows, digital beamforming (DBF) and beampattern synthesis based on alternating direction method of multipliers (ADMM) is used for multi-channel SAR image coherent fusion. Experiments using real-measured data from an automotive radar system with a two-transmitter-eight-receiver array validate the effectiveness of the proposed algorithm.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSTSP.2022.3207902</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-9011-388X</orcidid><orcidid>https://orcid.org/0000-0001-6415-7005</orcidid><orcidid>https://orcid.org/0000-0003-3478-2744</orcidid><orcidid>https://orcid.org/0009-0005-0399-8755</orcidid><orcidid>https://orcid.org/0000-0001-9875-051X</orcidid></addata></record> |
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subjects | Algorithms Automotive engineering Automotive radar Automotive synthetic aperture radar (SAR) back-projection (BP) Beamforming digital beamforming (DBF) Doppler-division multiplexing (DDM) Echoes High resolution Image resolution Imaging Imaging techniques Millimeter waves MIMO communication Multiplexing Radar Radar equipment Radar imaging Signal processing algorithms Synthetic aperture radar Transmitters |
title | Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing |
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