{"id":"https://openalex.org/W2513972357","doi":"https://doi.org/10.1109/dictap.2016.7544000","title":"A centralized multi-sensor particle filter algorithm of formation targets","display_name":"A centralized multi-sensor particle filter algorithm of formation targets","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2513972357","doi":"https://doi.org/10.1109/dictap.2016.7544000","mag":"2513972357"},"language":"en","primary_location":{"id":"doi:10.1109/dictap.2016.7544000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2016.7544000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)","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":null,"display_name":"Wang Haipeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Haipeng","raw_affiliation_strings":["Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114833592","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0001-9483-4599"},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025869540","display_name":"Xueyuan Lin","orcid":"https://orcid.org/0000-0002-8489-7796"},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyuan Lin","raw_affiliation_strings":["Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101529536","display_name":"Ziling Wang","orcid":"https://orcid.org/0000-0002-6803-2477"},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziling Wang","raw_affiliation_strings":["Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shangdong, China","institution_ids":["https://openalex.org/I4210162215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05394645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"50","last_page":"55"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.991100013256073,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/particle-filter","display_name":"Particle filter","score":0.7283453941345215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6614662408828735},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6293994188308716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.554370105266571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48866966366767883},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47088107466697693},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43384864926338196},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.43225061893463135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4281372129917145},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42751994729042053},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4033864438533783},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2300628423690796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13456562161445618},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11018657684326172}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7283453941345215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614662408828735},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6293994188308716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.554370105266571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48866966366767883},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47088107466697693},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43384864926338196},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.43225061893463135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4281372129917145},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42751994729042053},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4033864438533783},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2300628423690796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13456562161445618},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11018657684326172},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dictap.2016.7544000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2016.7544000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1503912227","https://openalex.org/W1541707081","https://openalex.org/W1822951930","https://openalex.org/W1959279866","https://openalex.org/W1965106715","https://openalex.org/W2016031850","https://openalex.org/W2025665395","https://openalex.org/W2203858427","https://openalex.org/W2237765446","https://openalex.org/W2333819589","https://openalex.org/W2356133968","https://openalex.org/W2393615158","https://openalex.org/W2413220771","https://openalex.org/W3011130886"],"related_works":["https://openalex.org/W2023617077","https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W1968585197","https://openalex.org/W2135362996","https://openalex.org/W2163445067","https://openalex.org/W4247544095","https://openalex.org/W2122155275","https://openalex.org/W4285271403"],"abstract_inverted_index":{"Aiming":[0],"to":[1,65,78,123],"solve":[2],"the":[3,9,13,23,26,47,62,68,74,91,105,112,116,120,143,151,174,178,183,194,209],"track":[4,179],"refined":[5,180],"tracking":[6,161,167,181,213],"problem":[7],"of":[8,22,32,49,73,118,150,177,182],"formation":[10,24,33,53,69,84,130,184],"targets":[11,34,185],"with":[12,104,186],"multi-sensor":[14,28,187,201,211],"detections,":[15],"intensive":[16],"analysis":[17,148],"on":[18,61,136,197],"target":[19,51,71,83,106,131],"echo":[20],"characteristics":[21],"targets,":[25],"centralized":[27,200],"particle":[29,137],"filter":[30,138],"algorithm":[31,38,156,195],"are":[35],"advanced.":[36],"The":[37,147],"set":[39,64,141],"up":[40],"a":[41],"shape":[42,55,100],"vector,":[43],"which":[44,134,171,204],"can":[45,172],"represent":[46],"graph":[48],"each":[50,70,82,129],"in":[52,160,208],"using":[54,115,139],"and":[56,99,142,165],"azimuth":[57],"descriptor,":[58],"then":[59],"based":[60,135,196],"measurement":[63,88,102,140],"fall":[66],"within":[67,81],"door":[72],"waves,":[75],"that":[76],"associated":[77,87],"all":[79],"graphics":[80],"might":[85],"be":[86],"configuration":[89],"for":[90],"object,":[92],"through":[93,97],"establish":[94],"similarity":[95,101],"model":[96],"space":[98],"step":[103],"state":[107],"prediction":[108],"value":[109],"distance,":[110],"at":[111],"same":[113],"time,":[114],"idea":[117],"selecting":[119],"master":[121],"station":[122],"remove":[124],"redundant":[125],"images.":[126],"Finally,":[127],"achieve":[128],"status":[132],"updating,":[133],"corresponding":[144],"weight":[145],"set.":[146],"results":[149],"simulation":[152],"data":[153,198],"show,":[154],"this":[155],"has":[157,205],"obvious":[158],"advantages":[159],"accuracy,":[162],"real-time":[163],"performance":[164,207],"effective":[166],"rate":[168],"three":[169],"aspects,":[170],"meet":[173],"engineering":[175],"requirement":[176],"detections":[188],"very":[189],"well,":[190],"is":[191],"better":[192],"than":[193],"compression":[199],"multi-algorithm":[202],"hypothesis":[203],"superior":[206],"traditional":[210],"multi-target":[212],"algorithm.":[214]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
