Method and system for data fusion using spatial and temporal diversity between sensors

Method and system for data fusion using spatial and temporal diversity between sensors

A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chen, Hai-Wen, Olson, Teresa L
Format: Patent
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Chen, Hai-Wen
Olson, Teresa L
description A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.
format Patent
fullrecord <record><control><sourceid>uspatents_EFH</sourceid><recordid>TN_cdi_uspatents_grants_07576681</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>07576681</sourcerecordid><originalsourceid>FETCH-uspatents_grants_075766813</originalsourceid><addsrcrecordid>eNqNjEEKwkAMRWfjQtQ75AKCIrbuRXHjTtxKZDJ1oCYlSZXe3ql4ADf_8eHxpuF6Jn9IBOQINpjTE5IoRHSE1FsWhrLcgHXoGduvWKxOtJyYX6SWfYA7-ZuIwYhN1OZhkrA1Wvw4C3A8XPanZT92iN1ujeKIVb2tq2q33vyhfADzvDru</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and system for data fusion using spatial and temporal diversity between sensors</title><source>USPTO Issued Patents</source><creator>Chen, Hai-Wen ; Olson, Teresa L</creator><creatorcontrib>Chen, Hai-Wen ; Olson, Teresa L ; Lockheed Martin Corporation</creatorcontrib><description>A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.</description><language>eng</language><creationdate>2009</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/7576681$$EPDF$$P50$$Guspatents$$Hfree_for_read</linktopdf><link.rule.ids>230,308,776,798,881,64012</link.rule.ids><linktorsrc>$$Uhttps://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/7576681$$EView_record_in_USPTO$$FView_record_in_$$GUSPTO$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Chen, Hai-Wen</creatorcontrib><creatorcontrib>Olson, Teresa L</creatorcontrib><creatorcontrib>Lockheed Martin Corporation</creatorcontrib><title>Method and system for data fusion using spatial and temporal diversity between sensors</title><description>A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.</description><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2009</creationdate><recordtype>patent</recordtype><sourceid>EFH</sourceid><recordid>eNqNjEEKwkAMRWfjQtQ75AKCIrbuRXHjTtxKZDJ1oCYlSZXe3ql4ADf_8eHxpuF6Jn9IBOQINpjTE5IoRHSE1FsWhrLcgHXoGduvWKxOtJyYX6SWfYA7-ZuIwYhN1OZhkrA1Wvw4C3A8XPanZT92iN1ujeKIVb2tq2q33vyhfADzvDru</recordid><startdate>20090818</startdate><enddate>20090818</enddate><creator>Chen, Hai-Wen</creator><creator>Olson, Teresa L</creator><scope>EFH</scope></search><sort><creationdate>20090818</creationdate><title>Method and system for data fusion using spatial and temporal diversity between sensors</title><author>Chen, Hai-Wen ; Olson, Teresa L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-uspatents_grants_075766813</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2009</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Chen, Hai-Wen</creatorcontrib><creatorcontrib>Olson, Teresa L</creatorcontrib><creatorcontrib>Lockheed Martin Corporation</creatorcontrib><collection>USPTO Issued Patents</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chen, Hai-Wen</au><au>Olson, Teresa L</au><aucorp>Lockheed Martin Corporation</aucorp><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and system for data fusion using spatial and temporal diversity between sensors</title><date>2009-08-18</date><risdate>2009</risdate><abstract>A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_uspatents_grants_07576681
source USPTO Issued Patents
title Method and system for data fusion using spatial and temporal diversity between sensors
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T15%3A55%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-uspatents_EFH&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Chen,%20Hai-Wen&rft.aucorp=Lockheed%20Martin%20Corporation&rft.date=2009-08-18&rft_id=info:doi/&rft_dat=%3Cuspatents_EFH%3E07576681%3C/uspatents_EFH%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true