{"id":"https://openalex.org/W3105545460","doi":"https://doi.org/10.1109/tsp.2021.3072006","title":"A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets","display_name":"A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3105545460","doi":"https://doi.org/10.1109/tsp.2021.3072006","mag":"3105545460"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2021.3072006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3072006","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.04464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049418113","display_name":"\u00c1ngel F. Garc\u00eda\u2010Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-6471-8455"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I3020445194","display_name":"Universidad Nebrija","ror":"https://ror.org/03tzyrt94","country_code":"ES","type":"education","lineage":["https://openalex.org/I3020445194"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Angel Garcia-Fernandez","raw_affiliation_strings":["ARIES Research Centre, Universidad Antonio de Nebrija, Madrid, Spain","Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6471-8455","affiliations":[{"raw_affiliation_string":"ARIES Research Centre, Universidad Antonio de Nebrija, Madrid, Spain","institution_ids":["https://openalex.org/I3020445194"]},{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076006629","display_name":"Jason Williams","orcid":"https://orcid.org/0000-0002-2416-075X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jason Williams","raw_affiliation_strings":["Robotics and Autonomous Systems Group, Commonwealth Scientific and Industrial Research Organization, Kenmore, Queensland, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2416-075X","affiliations":[{"raw_affiliation_string":"Robotics and Autonomous Systems Group, Commonwealth Scientific and Industrial Research Organization, Kenmore, Queensland, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029413988","display_name":"Lennart Svensson","orcid":"https://orcid.org/0000-0003-0206-9186"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lennart Svensson","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-0206-9186","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025858225","display_name":"Yuxuan Xia","orcid":"https://orcid.org/0000-0002-2788-7911"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yuxuan Xia","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-2788-7911","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.474,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.96376038,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"69","issue":null,"first_page":"2600","last_page":"2610"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.977400004863739,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9761000275611877,"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/recursion","display_name":"Recursion (computer science)","score":0.7379167079925537},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.7024973630905151},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6592100262641907},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.649563193321228},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.608056902885437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5316855311393738},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5085738897323608},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.489460825920105},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4741227924823761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4599972665309906},{"id":"https://openalex.org/keywords/inverse-wishart-distribution","display_name":"Inverse-Wishart distribution","score":0.44468629360198975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44038325548171997},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35491371154785156},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.26377201080322266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20050141215324402},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11827662587165833},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1060483455657959},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07345056533813477}],"concepts":[{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.7379167079925537},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7024973630905151},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6592100262641907},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.649563193321228},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.608056902885437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5316855311393738},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5085738897323608},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.489460825920105},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4741227924823761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4599972665309906},{"id":"https://openalex.org/C40851411","wikidata":"https://www.wikidata.org/wiki/Q3258368","display_name":"Inverse-Wishart distribution","level":4,"score":0.44468629360198975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44038325548171997},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35491371154785156},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.26377201080322266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20050141215324402},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11827662587165833},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1060483455657959},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07345056533813477},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2021.3072006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3072006","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.04464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.04464","pdf_url":"https://arxiv.org/pdf/2011.04464","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:research.chalmers.se:524085","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/524085","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.04464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.04464","pdf_url":"https://arxiv.org/pdf/2011.04464","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W88520345","https://openalex.org/W652333456","https://openalex.org/W1555760981","https://openalex.org/W1663973292","https://openalex.org/W1709455389","https://openalex.org/W1959279866","https://openalex.org/W1966447678","https://openalex.org/W1974801345","https://openalex.org/W1993235647","https://openalex.org/W1997116353","https://openalex.org/W2011087880","https://openalex.org/W2018275473","https://openalex.org/W2049244691","https://openalex.org/W2056268060","https://openalex.org/W2079537345","https://openalex.org/W2097009900","https://openalex.org/W2110012495","https://openalex.org/W2120004402","https://openalex.org/W2144598923","https://openalex.org/W2144617132","https://openalex.org/W2155680787","https://openalex.org/W2160749110","https://openalex.org/W2294153305","https://openalex.org/W2296664252","https://openalex.org/W2322989090","https://openalex.org/W2341459421","https://openalex.org/W2398554122","https://openalex.org/W2523112045","https://openalex.org/W2588070846","https://openalex.org/W2594639291","https://openalex.org/W2595600061","https://openalex.org/W2781514737","https://openalex.org/W2781819319","https://openalex.org/W2786070790","https://openalex.org/W2887611777","https://openalex.org/W2948034885","https://openalex.org/W2964064111","https://openalex.org/W2966165605","https://openalex.org/W2969740029","https://openalex.org/W2982732453","https://openalex.org/W2993189113","https://openalex.org/W3002358929","https://openalex.org/W3010674971","https://openalex.org/W3012318425","https://openalex.org/W3013404017","https://openalex.org/W3015192869","https://openalex.org/W3027388300","https://openalex.org/W3041620681","https://openalex.org/W3053647791","https://openalex.org/W3099552904","https://openalex.org/W3101703006","https://openalex.org/W3101735304","https://openalex.org/W3102355812","https://openalex.org/W3131170775","https://openalex.org/W3147228951","https://openalex.org/W3148198191","https://openalex.org/W3201409186","https://openalex.org/W4232464081","https://openalex.org/W6747588045","https://openalex.org/W6771253271","https://openalex.org/W6771568336"],"related_works":["https://openalex.org/W1976679120","https://openalex.org/W4281614748","https://openalex.org/W2377519369","https://openalex.org/W30954630","https://openalex.org/W4298392797","https://openalex.org/W2061675390","https://openalex.org/W1967524736","https://openalex.org/W3011535717","https://openalex.org/W1979678609","https://openalex.org/W2180122548"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,31,62,79,111,122],"Poisson":[4,123],"multi-Bernoulli":[5,124],"mixture":[6],"(PMBM)":[7],"filter":[8,29,59,126],"for":[9,16,61,98,107,127],"coexisting":[10,128],"point":[11,23,72,85,99,129],"and":[12,24,46,49,73,86,89,101,130],"extended":[13,25,74,87,108,131],"targets,":[14],"i.e.,":[15],"scenarios":[17],"where":[18],"there":[19],"may":[20],"be":[21],"simultaneous":[22],"targets.":[26,75,109,132],"The":[27,133],"PMBM":[28,58,117],"provides":[30],"recursion":[32,93],"to":[33],"compute":[34],"the":[35,57,91,116],"multi-target":[36],"filtering":[37,92],"posterior":[38],"based":[39],"on":[40,43],"probabilistic":[41],"information":[42],"data":[44],"associations,":[45],"single-target":[47,80],"predictions":[48],"updates.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,77,119],"first":[55],"derive":[56,90],"update":[60],"generalised":[63],"measurement":[64],"model,":[65],"which":[66],"can":[67],"include":[68],"measurements":[69],"originated":[70],"from":[71],"Second,":[76],"propose":[78],"space":[81],"that":[82,94],"accommodates":[83],"both":[84],"targets":[88,100],"propagates":[95],"Gaussian":[96,103],"densities":[97,106],"gamma":[102],"inverse":[104],"Wishart":[105],"As":[110],"computationally":[112],"efficient":[113],"approximation":[114],"of":[115],"filter,":[118],"also":[120],"develop":[121],"(PMB)":[125],"resulting":[134],"filters":[135],"are":[136],"analysed":[137],"via":[138],"numerical":[139],"simulations.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2020-11-23T00:00:00"}