{"id":"https://openalex.org/W4376852323","doi":"https://doi.org/10.1145/3573942.3574037","title":"Maneuvering Targets Tracking Method with Unknown Parameters based on Gaussian Mixture Probability Hypothesis Density","display_name":"Maneuvering Targets Tracking Method with Unknown Parameters based on Gaussian Mixture Probability Hypothesis Density","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852323","doi":"https://doi.org/10.1145/3573942.3574037"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3574037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3574037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5101606900","display_name":"Qingdong Huang","orcid":"https://orcid.org/0000-0003-3956-8667"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingdong Huang","raw_affiliation_strings":["College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924288","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-7776-3183"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802227","display_name":"Ran Xiao","orcid":"https://orcid.org/0000-0001-5775-6026"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Xiao","raw_affiliation_strings":["College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053831316","display_name":"M. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Wang","raw_affiliation_strings":["College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101587895","display_name":"Zhuang Han","orcid":"https://orcid.org/0000-0001-7508-8711"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Han","raw_affiliation_strings":["College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101606900"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56596585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"383"},"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":1.0,"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":1.0,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9897000193595886,"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"}},{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9764000177383423,"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/smoothing","display_name":"Smoothing","score":0.6651716232299805},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6434426307678223},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6203851103782654},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5636036396026611},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5543491244316101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.532669186592102},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5303801894187927},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4721170663833618},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4342893362045288},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42380380630493164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4089812636375427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40652531385421753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40014582872390747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.311302125453949},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08972486853599548}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6651716232299805},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6434426307678223},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6203851103782654},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5636036396026611},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5543491244316101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.532669186592102},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5303801894187927},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4721170663833618},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4342893362045288},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42380380630493164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4089812636375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40652531385421753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40014582872390747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.311302125453949},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08972486853599548},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3574037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3574037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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":10,"referenced_works":["https://openalex.org/W652333456","https://openalex.org/W2137585588","https://openalex.org/W2144617132","https://openalex.org/W2514596751","https://openalex.org/W2613185366","https://openalex.org/W2735839103","https://openalex.org/W2801422522","https://openalex.org/W2801683706","https://openalex.org/W3024026690","https://openalex.org/W3084655564"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2215635302"],"abstract_inverted_index":{"With":[0],"the":[1,24,31,48,52,58,66,76,81,94,98,106,111,120],"target":[2,107],"velocity":[3,33,41,49,95],"unknown":[4,32,115],"or":[5,20],"inaccurate,":[6],"Gaussian":[7],"mixture":[8],"probability":[9],"hypothesis":[10],"density":[11],"(GM-PHD)":[12],"filter":[13],"is":[14,84],"easy":[15],"to":[16,65,74,88,91,97],"make":[17],"false":[18],"estimation":[19,42],"wrong":[21],"tracking":[22,108],"of":[23,110,122],"target,":[25],"especially":[26],"for":[27],"maneuvering":[28,112],"targets.":[29],"For":[30],"singer":[34,99],"maneuver":[35,100],"model,":[36],"this":[37,123],"paper":[38],"proposes":[39],"a":[40],"method,":[43],"which":[44],"can":[45,104],"quickly":[46],"calculate":[47],"information":[50,55,96],"from":[51],"position":[53],"state":[54],"obtained":[56],"by":[57],"GM-PHD":[59],"filter,":[60],"and":[61,69],"then":[62],"transfer":[63],"it":[64],"5-point":[67],"median":[68],"3-point":[70],"linear":[71],"combination":[72],"smoothing":[73],"form":[75],"interference":[77],"cancellation":[78],"velocity.":[79,116],"Finally,":[80],"threshold":[82],"value":[83],"set":[85],"through":[86],"experience":[87],"decide":[89],"whether":[90],"feed":[92],"back":[93],"model.":[101],"This":[102],"method":[103],"improve":[105],"performance":[109],"model":[113],"with":[114],"Simulation":[117],"results":[118],"verify":[119],"effectiveness":[121],"method.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
