Rotating Target Size and Rotation Vector Estimation in a Distributed Stepped Frequency Radar System
Radar echoes produced by a target contain the target motion information and physical characteristics. In a stepped frequency (SF) signal, a range-Doppler coupling occurs where the movement of the target affects the target range profile. Using this characteristic, in this paper, an algorithm for esti...
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| Veröffentlicht in: | IEEE sensors journal 2020-07, Vol.20 (13), p.7189-7198 |
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| creator | Yoo, Kyungwoo Choi, Byung-Gwan Chun, Joohwan |
| description | Radar echoes produced by a target contain the target motion information and physical characteristics. In a stepped frequency (SF) signal, a range-Doppler coupling occurs where the movement of the target affects the target range profile. Using this characteristic, in this paper, an algorithm for estimating the size and rotation vector of the rotating target is proposed. For this, we consider a distributed radar system to utilize target-sensor geometry. By executing signature extraction from the high resolution range profiles (HRRPs) on time-range images and two nonlinear least squares (NLS) estimations, the desired parameters are successfully estimated. Through several simulations, the performance of the proposed method is analyzed and the favorable results are obtained. |
| doi_str_mv | 10.1109/JSEN.2020.2977685 |
| format | Article |
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In a stepped frequency (SF) signal, a range-Doppler coupling occurs where the movement of the target affects the target range profile. Using this characteristic, in this paper, an algorithm for estimating the size and rotation vector of the rotating target is proposed. For this, we consider a distributed radar system to utilize target-sensor geometry. By executing signature extraction from the high resolution range profiles (HRRPs) on time-range images and two nonlinear least squares (NLS) estimations, the desired parameters are successfully estimated. Through several simulations, the performance of the proposed method is analyzed and the favorable results are obtained.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2020.2977685</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Computer simulation ; Doppler effect ; Estimation ; Geometry ; High resolution range profiles (HRRPs) ; Manganese ; nonlinear least squares (NLS) ; Parameter estimation ; Physical properties ; Radar ; Radar echoes ; Radar equipment ; Radar scattering ; Radar signatures ; Radar systems ; rotating target ; Rotation ; Sensors ; stepped frequency (SF) ; target-sensor geometry</subject><ispartof>IEEE sensors journal, 2020-07, Vol.20 (13), p.7189-7198</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In a stepped frequency (SF) signal, a range-Doppler coupling occurs where the movement of the target affects the target range profile. Using this characteristic, in this paper, an algorithm for estimating the size and rotation vector of the rotating target is proposed. For this, we consider a distributed radar system to utilize target-sensor geometry. By executing signature extraction from the high resolution range profiles (HRRPs) on time-range images and two nonlinear least squares (NLS) estimations, the desired parameters are successfully estimated. Through several simulations, the performance of the proposed method is analyzed and the favorable results are obtained.</description><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Doppler effect</subject><subject>Estimation</subject><subject>Geometry</subject><subject>High resolution range profiles (HRRPs)</subject><subject>Manganese</subject><subject>nonlinear least squares (NLS)</subject><subject>Parameter estimation</subject><subject>Physical properties</subject><subject>Radar</subject><subject>Radar echoes</subject><subject>Radar equipment</subject><subject>Radar scattering</subject><subject>Radar signatures</subject><subject>Radar systems</subject><subject>rotating target</subject><subject>Rotation</subject><subject>Sensors</subject><subject>stepped frequency (SF)</subject><subject>target-sensor geometry</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UMtOwzAQtBBIlMIHIC6WOKd4_YjjI4KWhyqQmoK4Wa7jVKloUmz3UL4eR6k4zWp3Znd2ELoGMgEg6u61nL5NKKFkQpWUeSFO0AiEKDKQvDjta0YyzuTXOboIYUMIKCnkCNlFF01s2jVeGr92EZfNr8OmrfAw6Fr86WzsPJ6G2GyHTtNigx-bEH2z2kdX4TK63S7hzLufvWvtAS9MZTwuDyG67SU6q813cFdHHKOP2XT58JzN359eHu7nmaVcxIyBFFYxaZUFmWxTKijlyalVqqirleSu5rljOZOq5hZW1tQKKqryigpRSTZGt8Pene-SjRD1ptv7Np3UlAMRkBdEJRYMLOu7ELyr9c6nx_xBA9F9lrrPUvdZ6mOWSXMzaBrn3D9fJQqIgv0BNnxvqA</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Yoo, Kyungwoo</creator><creator>Choi, Byung-Gwan</creator><creator>Chun, Joohwan</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>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-9003-1748</orcidid><orcidid>https://orcid.org/0000-0002-3506-1722</orcidid></search><sort><creationdate>20200701</creationdate><title>Rotating Target Size and Rotation Vector Estimation in a Distributed Stepped Frequency Radar System</title><author>Yoo, Kyungwoo ; Choi, Byung-Gwan ; Chun, Joohwan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c245t-3175c937c9c17174225224001c998fdb74ef46e36379f4c1bcaf91d296d255d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Doppler effect</topic><topic>Estimation</topic><topic>Geometry</topic><topic>High resolution range profiles (HRRPs)</topic><topic>Manganese</topic><topic>nonlinear least squares (NLS)</topic><topic>Parameter estimation</topic><topic>Physical properties</topic><topic>Radar</topic><topic>Radar echoes</topic><topic>Radar equipment</topic><topic>Radar scattering</topic><topic>Radar signatures</topic><topic>Radar systems</topic><topic>rotating target</topic><topic>Rotation</topic><topic>Sensors</topic><topic>stepped frequency (SF)</topic><topic>target-sensor geometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoo, Kyungwoo</creatorcontrib><creatorcontrib>Choi, Byung-Gwan</creatorcontrib><creatorcontrib>Chun, Joohwan</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>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yoo, Kyungwoo</au><au>Choi, Byung-Gwan</au><au>Chun, Joohwan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rotating Target Size and Rotation Vector Estimation in a Distributed Stepped Frequency Radar System</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>20</volume><issue>13</issue><spage>7189</spage><epage>7198</epage><pages>7189-7198</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Radar echoes produced by a target contain the target motion information and physical characteristics. 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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Computer simulation Doppler effect Estimation Geometry High resolution range profiles (HRRPs) Manganese nonlinear least squares (NLS) Parameter estimation Physical properties Radar Radar echoes Radar equipment Radar scattering Radar signatures Radar systems rotating target Rotation Sensors stepped frequency (SF) target-sensor geometry |
| title | Rotating Target Size and Rotation Vector Estimation in a Distributed Stepped Frequency Radar System |
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