Reference pattern-based track-to-track association with biased data

A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias betwe...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2016-02, Vol.52 (1), p.501-512
1. Verfasser:	Tian, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Azimuth Niobium Sensor systems Target tracking
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	512
container_issue	1
container_start_page	501
container_title	IEEE transactions on aerospace and electronic systems
container_volume	52
creator	Tian, Wei
description	A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias between sensors, we modify the optimal subpattern assignment metric, which makes the derived association cost matrix insensitive to sensor biases. Simulation results demonstrate the superior performance of the proposed algorithm.
doi_str_mv	10.1109/TAES.2015.140433
format	Article
fullrecord	<record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1787060847</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7444064</ieee_id><sourcerecordid>4046485421</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-3214936d66739c0ab9f441ccae2fdfad6ffbeb78c8624399656e7228b2a217a73</originalsourceid><addsrcrecordid>eNo9kE1LAzEQhoMoWKt3wcuC59R8bbI5llKrUBC0nsNsdoJbdbcmKeK_t9sVT_MOPO8MPIRcczbjnNm7zXz5MhOMlzOumJLyhEx4WRpqNZOnZMIYr6gVJT8nFyltD6uqlJyQxTMGjNh5LHaQM8aO1pCwKXIE_05zT4-hgJR630Ju-674bvNbUbdHrIEMl-QswEfCq785Ja_3y83iga6fVo-L-Zp6YXmmUnBlpW60NtJ6BrUNSnHvAUVoAjQ6hBprU_lKCyWt1aVGI0RVCxDcgJFTcjve3cX-a48pu22_j93hpeOmMkyzSg0UGykf-5QiBreL7SfEH8eZG1S5QZUbVLlR1aFyM1ZaRPzHjVKKaSV_AVbnZEg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1787060847</pqid></control><display><type>article</type><title>Reference pattern-based track-to-track association with biased data</title><source>IEEE Electronic Library (IEL)</source><creator>Tian, Wei</creator><creatorcontrib>Tian, Wei</creatorcontrib><description>A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias between sensors, we modify the optimal subpattern assignment metric, which makes the derived association cost matrix insensitive to sensor biases. Simulation results demonstrate the superior performance of the proposed algorithm.</description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/TAES.2015.140433</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Azimuth ; Niobium ; Sensor systems ; Target tracking</subject><ispartof>IEEE transactions on aerospace and electronic systems, 2016-02, Vol.52 (1), p.501-512</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-3214936d66739c0ab9f441ccae2fdfad6ffbeb78c8624399656e7228b2a217a73</citedby><cites>FETCH-LOGICAL-c291t-3214936d66739c0ab9f441ccae2fdfad6ffbeb78c8624399656e7228b2a217a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7444064$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7444064$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tian, Wei</creatorcontrib><title>Reference pattern-based track-to-track association with biased data</title><title>IEEE transactions on aerospace and electronic systems</title><addtitle>T-AES</addtitle><description>A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias between sensors, we modify the optimal subpattern assignment metric, which makes the derived association cost matrix insensitive to sensor biases. Simulation results demonstrate the superior performance of the proposed algorithm.</description><subject>Azimuth</subject><subject>Niobium</subject><subject>Sensor systems</subject><subject>Target tracking</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWKt3wcuC59R8bbI5llKrUBC0nsNsdoJbdbcmKeK_t9sVT_MOPO8MPIRcczbjnNm7zXz5MhOMlzOumJLyhEx4WRpqNZOnZMIYr6gVJT8nFyltD6uqlJyQxTMGjNh5LHaQM8aO1pCwKXIE_05zT4-hgJR630Ju-674bvNbUbdHrIEMl-QswEfCq785Ja_3y83iga6fVo-L-Zp6YXmmUnBlpW60NtJ6BrUNSnHvAUVoAjQ6hBprU_lKCyWt1aVGI0RVCxDcgJFTcjve3cX-a48pu22_j93hpeOmMkyzSg0UGykf-5QiBreL7SfEH8eZG1S5QZUbVLlR1aFyM1ZaRPzHjVKKaSV_AVbnZEg</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Tian, 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>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20160201</creationdate><title>Reference pattern-based track-to-track association with biased data</title><author>Tian, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-3214936d66739c0ab9f441ccae2fdfad6ffbeb78c8624399656e7228b2a217a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Azimuth</topic><topic>Niobium</topic><topic>Sensor systems</topic><topic>Target tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tian, 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>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tian, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reference pattern-based track-to-track association with biased data</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2016-02-01</date><risdate>2016</risdate><volume>52</volume><issue>1</issue><spage>501</spage><epage>512</epage><pages>501-512</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias between sensors, we modify the optimal subpattern assignment metric, which makes the derived association cost matrix insensitive to sensor biases. Simulation results demonstrate the superior performance of the proposed algorithm.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAES.2015.140433</doi><tpages>12</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	ISSN: 0018-9251
ispartof	IEEE transactions on aerospace and electronic systems, 2016-02, Vol.52 (1), p.501-512
issn	0018-9251 1557-9603
language	eng
recordid	cdi_proquest_journals_1787060847
source	IEEE Electronic Library (IEL)
subjects	Azimuth Niobium Sensor systems Target tracking
title	Reference pattern-based track-to-track association with biased data
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T22%3A20%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reference%20pattern-based%20track-to-track%20association%20with%20biased%20data&rft.jtitle=IEEE%20transactions%20on%20aerospace%20and%20electronic%20systems&rft.au=Tian,%20Wei&rft.date=2016-02-01&rft.volume=52&rft.issue=1&rft.spage=501&rft.epage=512&rft.pages=501-512&rft.issn=0018-9251&rft.eissn=1557-9603&rft.coden=IEARAX&rft_id=info:doi/10.1109/TAES.2015.140433&rft_dat=%3Cproquest_RIE%3E4046485421%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1787060847&rft_id=info:pmid/&rft_ieee_id=7444064&rfr_iscdi=true