{"id":"https://openalex.org/W4388118242","doi":"https://doi.org/10.23919/eusipco58844.2023.10289914","title":"Multi-target tracking pipeline for MIMO-FMCW radars based on modified GM-PHD","display_name":"Multi-target tracking pipeline for MIMO-FMCW radars based on modified GM-PHD","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388118242","doi":"https://doi.org/10.23919/eusipco58844.2023.10289914"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10289914","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","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/A5088901275","display_name":"S. Hamed Javadi","orcid":"https://orcid.org/0000-0002-0354-6952"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"S. Hamed Javadi","raw_affiliation_strings":["IMEC,Leuven,Belgium","IMEC, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"IMEC,Leuven,Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"IMEC, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021201065","display_name":"Ruoyu Feng","orcid":"https://orcid.org/0000-0002-7165-6694"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ruoyu Feng","raw_affiliation_strings":["IMEC,Leuven,Belgium","IMEC, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"IMEC,Leuven,Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"IMEC, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016885070","display_name":"Andr\u00e9 Bourdoux","orcid":"https://orcid.org/0000-0002-9264-7850"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Bourdoux","raw_affiliation_strings":["IMEC,Leuven,Belgium","IMEC, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"IMEC,Leuven,Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"IMEC, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073820422","display_name":"Hichem Sahli","orcid":"https://orcid.org/0000-0002-1774-2970"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]},{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hichem Sahli","raw_affiliation_strings":["IMEC,Leuven,Belgium","IMEC, Leuven, Belgium","Informatics Dept., Vrije Universiteit Brussel (VUB), Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"IMEC,Leuven,Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"IMEC, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Informatics Dept., Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088901275"],"corresponding_institution_ids":["https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":0.3921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66252743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9991000294685364,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8585193157196045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731423735618591},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.6653525829315186},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5790733695030212},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5745236873626709},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5148126482963562},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.5002913475036621},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4608653783798218},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.45597752928733826},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.426858127117157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4118242561817169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3998521566390991},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.31054675579071045},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.17076659202575684},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1509726345539093}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8585193157196045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731423735618591},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.6653525829315186},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5790733695030212},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5745236873626709},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5148126482963562},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.5002913475036621},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4608653783798218},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.45597752928733826},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.426858127117157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4118242561817169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3998521566390991},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.31054675579071045},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.17076659202575684},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1509726345539093},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10289914","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W595851582","https://openalex.org/W1507294544","https://openalex.org/W1673310716","https://openalex.org/W2014787937","https://openalex.org/W2106873007","https://openalex.org/W2127923214","https://openalex.org/W2129078811","https://openalex.org/W2137585588","https://openalex.org/W2163557299","https://openalex.org/W2167536584","https://openalex.org/W2424573799","https://openalex.org/W3014366749","https://openalex.org/W3170211562","https://openalex.org/W4225716276","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2625197920","https://openalex.org/W2054656021","https://openalex.org/W2380612839","https://openalex.org/W2056268060","https://openalex.org/W4380451819","https://openalex.org/W1873103587","https://openalex.org/W2532810734","https://openalex.org/W1971552868","https://openalex.org/W1974311529","https://openalex.org/W621585789"],"abstract_inverted_index":{"Multitarget":[0],"tracking":[1,45,82],"(MTT)":[2],"with":[3,24],"radar":[4,53,62],"is":[5,128],"challenging":[6],"due":[7],"to":[8,22,79],"the":[9,81,100],"radar's":[10],"low-resolution":[11],"noisy":[12],"clutter-prone":[13],"observation":[14],"data.":[15],"Classical":[16],"approaches":[17],"employ":[18],"data":[19,115],"association":[20],"filters":[21],"deal":[23],"clutter":[25,59],"and":[26,64,72,90],"interference,":[27],"but":[28],"they":[29],"are":[30,77],"highly":[31],"complex.":[32],"This":[33,117],"paper":[34],"presents":[35],"an":[36],"improved":[37],"Gaussian":[38],"mixture":[39],"probability":[40],"hypothesis":[41],"density":[42],"(GM-PHD)":[43],"multi-target":[44],"pipeline.":[46],"The":[47,97],"proposed":[48],"GM-PHD":[49],"solution":[50],"considers":[51],"(i)":[52],"bounding-box-":[54],"based":[55],"measurements,":[56],"(ii)":[57],"a":[58],"model":[60],"for":[61,121,125],"observations,":[63],"(iii)":[65],"robust":[66],"target":[67,95],"identification.":[68,96],"Using":[69],"both":[70],"simulated":[71],"experimental":[73],"scenarios,":[74],"these":[75],"contributions":[76],"proven":[78],"improve":[80],"performance":[83],"in":[84,105],"terms":[85],"of":[86,99],"robustness":[87],"against":[88],"noise":[89],"clutter,":[91],"as":[92,94],"well":[93],"significance":[98],"presented":[101],"MTT":[102,127],"scheme":[103],"lies":[104],"its":[106],"low":[107],"complexity":[108],"since":[109],"it":[110,119],"does":[111],"not":[112],"need":[113],"any":[114],"association.":[116],"makes":[118],"applicable":[120],"intense":[122],"high-level":[123],"applications":[124],"which":[126],"used.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}