{"id":"https://openalex.org/W2120254289","doi":"https://doi.org/10.1109/icmlc.2011.6016858","title":"An improved particle filter based on diversity guidance","display_name":"An improved particle filter based on diversity guidance","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2120254289","doi":"https://doi.org/10.1109/icmlc.2011.6016858","mag":"2120254289"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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/A5072671550","display_name":"Jinxia Yu","orcid":"https://orcid.org/0000-0002-5079-7906"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin-Xia Yu","raw_affiliation_strings":["College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026074373","display_name":"Yongli Tang","orcid":"https://orcid.org/0000-0003-2783-7065"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Li Tang","raw_affiliation_strings":["College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046373851","display_name":"Xian-Cha Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Cha Liu","raw_affiliation_strings":["College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086649532","display_name":"Qian Zhao","orcid":"https://orcid.org/0000-0002-3758-237X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian Zhao","raw_affiliation_strings":["State Grid Electric Power of HeNan Jiyuan Power Supply Company, Jiyuan, China","State Grid Electric Power of HeNan Ji-Yuan Power Supply Company, Jiyuan 454650, China"],"affiliations":[{"raw_affiliation_string":"State Grid Electric Power of HeNan Jiyuan Power Supply Company, Jiyuan, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Electric Power of HeNan Ji-Yuan Power Supply Company, Jiyuan 454650, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072671550"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12482903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1192","last_page":"1197"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9779000282287598,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8618691563606262},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7928438782691956},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.7075430154800415},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5224857926368713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5204553604125977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44819796085357666},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4389094412326813},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.4285619854927063},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.413828045129776},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4071885943412781},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36502930521965027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31751102209091187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2607220709323883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1889764666557312},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.14839330315589905},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.06679019331932068}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8618691563606262},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7928438782691956},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.7075430154800415},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5224857926368713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5204553604125977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44819796085357666},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4389094412326813},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.4285619854927063},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.413828045129776},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4071885943412781},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36502930521965027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31751102209091187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2607220709323883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1889764666557312},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.14839330315589905},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.06679019331932068},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6016858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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":5,"referenced_works":["https://openalex.org/W2033057584","https://openalex.org/W2098613108","https://openalex.org/W2126736494","https://openalex.org/W2128408716","https://openalex.org/W2160337655"],"related_works":["https://openalex.org/W3144709167","https://openalex.org/W1824810860","https://openalex.org/W2162253570","https://openalex.org/W2368144031","https://openalex.org/W2355962871","https://openalex.org/W2758742130","https://openalex.org/W2126226614","https://openalex.org/W2406829934","https://openalex.org/W2862160893","https://openalex.org/W2376126247"],"abstract_inverted_index":{"Particle":[0],"filter":[1,23,37],"has":[2],"been":[3],"widely":[4],"applied":[5],"into":[6,64],"many":[7],"fields":[8],"in":[9,35],"recent":[10],"years.":[11],"Combined":[12],"with":[13],"the":[14,31,55,70,87,92,101,110,128,131],"deficiency":[15],"analysis":[16],"of":[17,57,72,86,103,130],"particle":[18,22,36,58,73],"filter,":[19],"an":[20],"improved":[21],"based":[24,40],"on":[25,41],"diversity":[26,43,52,71],"guidance":[27],"is":[28,38,62,80,97,134],"proposed.":[29],"Firstly,":[30],"adaptive":[32],"resampling":[33,61],"step":[34],"tuned":[39],"two":[42],"measures":[44],"which":[45],"are":[46],"effective":[47],"sample":[48],"size":[49],"and":[50,106],"population":[51],"factor.":[53],"Moreover,":[54],"operation":[56],"mutation":[59],"after":[60],"integrated":[63],"PF":[65],"so":[66],"as":[67],"to":[68,82,99,116],"assure":[69],"sets.":[74],"Then,":[75],"a":[76,118,123],"hybrid":[77],"proposal":[78],"distribution":[79],"adopted":[81],"consider":[83],"current":[84],"information":[85],"latest":[88],"observed":[89],"measurement.":[90],"At":[91],"same":[93],"time,":[94],"annealing":[95],"parameter":[96],"utilized":[98],"control":[100],"proportional":[102],"priori":[104],"function":[105],"likelihood":[107],"function.":[108],"With":[109],"simulation":[111],"program":[112],"using":[113],"matlab":[114],"7.0":[115],"track":[117],"single":[119],"target":[120],"motion":[121],"from":[122],"fixed":[124],"visual":[125],"observation":[126],"points,":[127],"validity":[129],"proposed":[132],"method":[133],"verified.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
