{"id":"https://openalex.org/W2129209128","doi":"https://doi.org/10.1109/icassp.2006.1661102","title":"Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room","display_name":"Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2129209128","doi":"https://doi.org/10.1109/icassp.2006.1661102","mag":"2129209128"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt9xc0f566/qt9xc0f566.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042192182","display_name":"Chiao-En Chen","orcid":"https://orcid.org/0000-0002-2150-4094"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C.E. Chen","raw_affiliation_strings":["Electrical Engineering Department, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020917908","display_name":"H. Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Wang","raw_affiliation_strings":["Computer Science Department, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, UCLA, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002561145","display_name":"Andreas M. Ali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Ali","raw_affiliation_strings":["Electrical Engineering Department, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038936724","display_name":"F. Lorenzelli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Lorenzelli","raw_affiliation_strings":["Electrical Engineering Department, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103546421","display_name":"Ralph E. Hudson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R.E. Hudson","raw_affiliation_strings":["Electrical Engineering Department, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043680165","display_name":"K. Yao","orcid":"https://orcid.org/0000-0003-4598-8860"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Yao","raw_affiliation_strings":["Electrical Engineering Department, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"IV","last_page":"849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.8912602663040161},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.8216332793235779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969762444496155},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5787855386734009},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.5312628149986267},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4811336100101471},{"id":"https://openalex.org/keywords/source-tracking","display_name":"Source tracking","score":0.4387640655040741},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4264412522315979},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.42557796835899353},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4192148447036743},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3638603091239929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30142951011657715},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.17574560642242432},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15488013625144958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13949835300445557},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.13140997290611267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12371495366096497},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.11572596430778503}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8912602663040161},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.8216332793235779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969762444496155},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5787855386734009},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.5312628149986267},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4811336100101471},{"id":"https://openalex.org/C2779167275","wikidata":"https://www.wikidata.org/wiki/Q7565165","display_name":"Source tracking","level":2,"score":0.4387640655040741},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4264412522315979},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.42557796835899353},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4192148447036743},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3638603091239929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30142951011657715},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.17574560642242432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15488013625144958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13949835300445557},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.13140997290611267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12371495366096497},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.11572596430778503},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2006.1661102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt9xc0f566","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9xc0f566","pdf_url":"https://escholarship.org/content/qt9xc0f566/qt9xc0f566.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Center for Embedded Network Sensing, vol 4","raw_type":"article"},{"id":"pmh:qt9xc0f566","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/9xc0f566","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, Chiao-En; Ali, Andreas M; Lorenzelli, F.; Hudson, Ralph E.; &amp; Yao, K. (2006). Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room. Center for Embedded Network Sensing, 4, 849 - 852. doi: 10.1109/ICASSP.2006.1661102. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/9xc0f566","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt9xc0f566","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9xc0f566","pdf_url":"https://escholarship.org/content/qt9xc0f566/qt9xc0f566.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Center for Embedded Network Sensing, vol 4","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2129209128.pdf","grobid_xml":"https://content.openalex.org/works/W2129209128.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1648602279","https://openalex.org/W2107493093","https://openalex.org/W2111980455","https://openalex.org/W2117678320","https://openalex.org/W2127617367","https://openalex.org/W2128917116","https://openalex.org/W2157697090","https://openalex.org/W2160337655","https://openalex.org/W2294875987","https://openalex.org/W4255133955","https://openalex.org/W6676922240"],"related_works":["https://openalex.org/W2013921918","https://openalex.org/W2035008559","https://openalex.org/W2019724159","https://openalex.org/W2577958329","https://openalex.org/W4247602836","https://openalex.org/W4280508323","https://openalex.org/W2371672232","https://openalex.org/W3151346708","https://openalex.org/W1591411095","https://openalex.org/W2088686292"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,13],"novel":[3],"algorithm":[4,29,55],"employing":[5],"particle":[6],"filters":[7],"for":[8,39],"acoustic":[9],"source":[10],"tracking":[11],"in":[12],"reverberant":[14],"environment.":[15],"By":[16],"incorporating":[17],"the":[18,27,50,53],"likelihood":[19],"function":[20],"computed":[21],"through":[22],"approximate":[23],"maximum-likelihood":[24],"(AML)":[25],"method,":[26],"proposed":[28,54],"is":[30],"applicable":[31],"to":[32],"wideband":[33],"sources":[34,41],"and":[35,46],"can":[36],"be":[37],"implemented":[38],"multiple":[40],"tracking.":[42],"Both":[43],"computer":[44],"simulation":[45],"experimental":[47],"results":[48],"show":[49],"effectiveness":[51],"of":[52]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
