Limits of target tracking in heavy clutter

Limits of target tracking in heavy clutter

The Integrated Track Splitting (ITS) filter is an advanced method for automatic target tracking in clutter. The track trajectory state probability density function (pdf) is approximated by a mixture of track component pdfs. The track state includes a track quality measure (the probability of target...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Radosavljevic, Z., Musicki, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Approximation methods
Clutter
components control
Density measurement
false track discrimination
Integrated Track Splitting
N-scan-memory filter
Probability density function
Radar tracking
Target tracking
Trajectory
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4
container_issue
container_start_page 1
container_title
container_volume
creator Radosavljevic, Z.
Musicki, D.
description The Integrated Track Splitting (ITS) filter is an advanced method for automatic target tracking in clutter. The track trajectory state probability density function (pdf) is approximated by a mixture of track component pdfs. The track state includes a track quality measure (the probability of target texistence) which is used to discriminate between true and false tracks. This paper investigates the feasible limits of target tracking (False Track Discrimination) in heavy clutter and low probability of detection. Relationship between the False Track Discrimination performance and the component control parameters is part of the investigation, thus some practical guidelines for ITS filter design are also provided. The tradeoffs between performance and computational resources are indicated, allowing for the proper design of ITS filter and hardware resourcing.
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6086945</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6086945</ieee_id><sourcerecordid>6086945</sourcerecordid><originalsourceid>FETCH-ieee_primary_60869453</originalsourceid><addsrcrecordid>eNp9iT0LwjAUACMiKJpf4PJmQWia71kUB0f3EsprfdpWSaLQf6-Is7ccx00Y99Y572WpjLB--m2htLVCaqHmjKd0LT4Y400pF2xzop5ygnsDOcQWM-QY6hsNLdAAFwyvEerumTPGFZs1oUvIf16y9WF_3h23hIjVI1If4liZwhmvtPx_30lsLrg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Limits of target tracking in heavy clutter</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Radosavljevic, Z. ; Musicki, D.</creator><creatorcontrib>Radosavljevic, Z. ; Musicki, D.</creatorcontrib><description>The Integrated Track Splitting (ITS) filter is an advanced method for automatic target tracking in clutter. The track trajectory state probability density function (pdf) is approximated by a mixture of track component pdfs. The track state includes a track quality measure (the probability of target texistence) which is used to discriminate between true and false tracks. This paper investigates the feasible limits of target tracking (False Track Discrimination) in heavy clutter and low probability of detection. Relationship between the False Track Discrimination performance and the component control parameters is part of the investigation, thus some practical guidelines for ITS filter design are also provided. The tradeoffs between performance and computational resources are indicated, allowing for the proper design of ITS filter and hardware resourcing.</description><identifier>ISBN: 9781457713514</identifier><identifier>ISBN: 1457713519</identifier><identifier>EISBN: 9788993246179</identifier><identifier>EISBN: 8993246173</identifier><language>eng</language><publisher>IEEE</publisher><subject>Approximation methods ; Clutter ; components control ; Density measurement ; false track discrimination ; Integrated Track Splitting ; N-scan-memory filter ; Probability density function ; Radar tracking ; Target tracking ; Trajectory</subject><ispartof>2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2011, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6086945$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6086945$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Radosavljevic, Z.</creatorcontrib><creatorcontrib>Musicki, D.</creatorcontrib><title>Limits of target tracking in heavy clutter</title><title>2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)</title><addtitle>APSAR</addtitle><description>The Integrated Track Splitting (ITS) filter is an advanced method for automatic target tracking in clutter. The track trajectory state probability density function (pdf) is approximated by a mixture of track component pdfs. The track state includes a track quality measure (the probability of target texistence) which is used to discriminate between true and false tracks. This paper investigates the feasible limits of target tracking (False Track Discrimination) in heavy clutter and low probability of detection. Relationship between the False Track Discrimination performance and the component control parameters is part of the investigation, thus some practical guidelines for ITS filter design are also provided. The tradeoffs between performance and computational resources are indicated, allowing for the proper design of ITS filter and hardware resourcing.</description><subject>Approximation methods</subject><subject>Clutter</subject><subject>components control</subject><subject>Density measurement</subject><subject>false track discrimination</subject><subject>Integrated Track Splitting</subject><subject>N-scan-memory filter</subject><subject>Probability density function</subject><subject>Radar tracking</subject><subject>Target tracking</subject><subject>Trajectory</subject><isbn>9781457713514</isbn><isbn>1457713519</isbn><isbn>9788993246179</isbn><isbn>8993246173</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9iT0LwjAUACMiKJpf4PJmQWia71kUB0f3EsprfdpWSaLQf6-Is7ccx00Y99Y572WpjLB--m2htLVCaqHmjKd0LT4Y400pF2xzop5ygnsDOcQWM-QY6hsNLdAAFwyvEerumTPGFZs1oUvIf16y9WF_3h23hIjVI1If4liZwhmvtPx_30lsLrg</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Radosavljevic, Z.</creator><creator>Musicki, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201109</creationdate><title>Limits of target tracking in heavy clutter</title><author>Radosavljevic, Z. ; Musicki, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_60869453</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Approximation methods</topic><topic>Clutter</topic><topic>components control</topic><topic>Density measurement</topic><topic>false track discrimination</topic><topic>Integrated Track Splitting</topic><topic>N-scan-memory filter</topic><topic>Probability density function</topic><topic>Radar tracking</topic><topic>Target tracking</topic><topic>Trajectory</topic><toplevel>online_resources</toplevel><creatorcontrib>Radosavljevic, Z.</creatorcontrib><creatorcontrib>Musicki, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Radosavljevic, Z.</au><au>Musicki, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Limits of target tracking in heavy clutter</atitle><btitle>2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)</btitle><stitle>APSAR</stitle><date>2011-09</date><risdate>2011</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>9781457713514</isbn><isbn>1457713519</isbn><eisbn>9788993246179</eisbn><eisbn>8993246173</eisbn><abstract>The Integrated Track Splitting (ITS) filter is an advanced method for automatic target tracking in clutter. The track trajectory state probability density function (pdf) is approximated by a mixture of track component pdfs. The track state includes a track quality measure (the probability of target texistence) which is used to discriminate between true and false tracks. This paper investigates the feasible limits of target tracking (False Track Discrimination) in heavy clutter and low probability of detection. Relationship between the False Track Discrimination performance and the component control parameters is part of the investigation, thus some practical guidelines for ITS filter design are also provided. The tradeoffs between performance and computational resources are indicated, allowing for the proper design of ITS filter and hardware resourcing.</abstract><pub>IEEE</pub></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781457713514
ispartof 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2011, p.1-4
issn
language eng
recordid cdi_ieee_primary_6086945
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Approximation methods
Clutter
components control
Density measurement
false track discrimination
Integrated Track Splitting
N-scan-memory filter
Probability density function
Radar tracking
Target tracking
Trajectory
title Limits of target tracking in heavy clutter
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T13%3A15%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Limits%20of%20target%20tracking%20in%20heavy%20clutter&rft.btitle=2011%203rd%20International%20Asia-Pacific%20Conference%20on%20Synthetic%20Aperture%20Radar%20(APSAR)&rft.au=Radosavljevic,%20Z.&rft.date=2011-09&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.isbn=9781457713514&rft.isbn_list=1457713519&rft_id=info:doi/&rft_dat=%3Cieee_6IE%3E6086945%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9788993246179&rft.eisbn_list=8993246173&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6086945&rfr_iscdi=true