{"id":"https://openalex.org/W1987334239","doi":"https://doi.org/10.1109/ssp.2014.6884689","title":"Cooperative sensor localisation in distributed fusion networks by exploiting non-cooperative targets","display_name":"Cooperative sensor localisation in distributed fusion networks by exploiting non-cooperative targets","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1987334239","doi":"https://doi.org/10.1109/ssp.2014.6884689","mag":"1987334239"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2014.6884689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090912186","display_name":"Murat \u00dcney","orcid":"https://orcid.org/0000-0001-6561-0406"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Murat Uney","raw_affiliation_strings":["Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076320344","display_name":"B. Mulgrew","orcid":"https://orcid.org/0000-0002-8082-2818"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bernard Mulgrew","raw_affiliation_strings":["Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074908755","display_name":"Daniel E. Clark","orcid":"https://orcid.org/0000-0002-0218-7994"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Clark","raw_affiliation_strings":["School of Eng.& Physical Sciences, Heriot-Watt University Riccarton, Edinburgh, UK","School of Engineering & Physical Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Eng.& Physical Sciences, Heriot-Watt University Riccarton, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"School of Engineering & Physical Sciences","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3833,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9286781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7331315875053406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719891369342804},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6683644652366638},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.6359427571296692},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5682108402252197},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.5426517128944397},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5407083630561829},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5288276076316833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4892258644104004},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4791799783706665},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.45847585797309875},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.44806045293807983},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4326789677143097},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4174400866031647},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4119578003883362},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38600510358810425},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37728947401046753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31219059228897095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3092186450958252},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24941906332969666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17011138796806335},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12591329216957092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.125905841588974},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.11516988277435303},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11001509428024292},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.10717546939849854},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.0918266773223877}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7331315875053406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719891369342804},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6683644652366638},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.6359427571296692},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5682108402252197},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.5426517128944397},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5407083630561829},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5288276076316833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4892258644104004},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4791799783706665},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.45847585797309875},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.44806045293807983},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4326789677143097},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4174400866031647},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4119578003883362},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38600510358810425},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37728947401046753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31219059228897095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3092186450958252},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24941906332969666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17011138796806335},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12591329216957092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.125905841588974},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.11516988277435303},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11001509428024292},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.10717546939849854},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0918266773223877},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2014.6884689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2327784722","display_name":null,"funder_award_id":"EP/J015180/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8726282573","display_name":null,"funder_award_id":"EP/K014277/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W159153715","https://openalex.org/W1985621395","https://openalex.org/W1988543519","https://openalex.org/W1994684794","https://openalex.org/W2014787937","https://openalex.org/W2019599312","https://openalex.org/W2027772285","https://openalex.org/W2040398233","https://openalex.org/W2055936398","https://openalex.org/W2103227205","https://openalex.org/W2110407935","https://openalex.org/W2114291337","https://openalex.org/W2114864438","https://openalex.org/W2152001538","https://openalex.org/W2154659203","https://openalex.org/W2167947196","https://openalex.org/W4292691288","https://openalex.org/W6657358088"],"related_works":["https://openalex.org/W2396038226","https://openalex.org/W2180905035","https://openalex.org/W2169282664","https://openalex.org/W2151646056","https://openalex.org/W185838248","https://openalex.org/W2143052184","https://openalex.org/W2118215373","https://openalex.org/W2166869208","https://openalex.org/W1552759590","https://openalex.org/W2467952778"],"abstract_inverted_index":{"We":[0,51,72,91,135],"consider":[1],"geographically":[2],"dispersed":[3],"and":[4,35,112],"networked":[5],"sensors":[6],"collecting":[7],"measurements":[8,26],"from":[9],"multiple":[10],"targets":[11],"in":[12,29,54,57,59],"a":[13,30,82],"surveillance":[14],"region.":[15],"Each":[16],"sensor":[17,31,77,144],"node":[18],"filters":[19],"the":[20,48,61,68,89,108,121,131,137],"set":[21],"of":[22,88,98,139],"cluttered,":[23],"noisy":[24],"target":[25],"it":[27],"collects":[28],"centric":[32],"coordinate":[33],"system":[34],"with":[36,120,128,149],"imperfect":[37],"detection":[38],"rates.":[39],"The":[40],"filtered":[41],"multi-target":[42,69,110],"information":[43,70,111],"is,":[44],"then,":[45],"communicated":[46],"to":[47,65,130],"nearest":[49],"neighbours.":[50],"are":[52],"interested":[53],"network":[55,62],"self-localisation":[56],"scenarios":[58],"which":[60,102,125],"is":[63,126],"restricted":[64],"use":[66,117],"only":[67,107],"shared.":[71],"propose":[73],"an":[74,147],"online":[75],"distributed":[76],"localisation":[78,145],"scheme":[79],"based":[80],"on":[81],"pairwise":[83],"Markov":[84,127],"Random":[85],"Field":[86],"model":[87,124],"problem.":[90],"first":[92],"introduce":[93],"parameter":[94],"likelihoods":[95],"for":[96,142],"pairs":[97],"sensors-equivalently,":[99],"edge":[100],"potentials-":[101],"can":[103],"be":[104],"computed":[105],"using":[106],"incoming":[109],"local":[113],"measurements.":[114],"Then,":[115],"we":[116],"belief":[118],"propagation":[119],"associated":[122],"posterior":[123],"respect":[129],"underlying":[132],"communication":[133],"topology.":[134],"demonstrate":[136],"efficacy":[138],"our":[140],"algorithm":[141],"cooperative":[143],"through":[146],"example":[148],"complex":[150],"measurement":[151],"models.":[152]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
