{"id":"https://openalex.org/W1993348354","doi":"https://doi.org/10.1109/icassp.2002.5744927","title":"A new importance function for particle filtering and its application to blind detection in flat fading channels","display_name":"A new importance function for particle filtering and its application to blind detection in flat fading channels","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W1993348354","doi":"https://doi.org/10.1109/icassp.2002.5744927","mag":"1993348354"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5744927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5744927","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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/A5068887242","display_name":"Yufei Huang","orcid":"https://orcid.org/0000-0001-6268-5357"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yufei Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State University of New York, Stony Brook, Stony Brook, NY, USA","Department of Electrical and Computer Engineering, State University of New York at Stony Brook, NY, 11794-2350, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York, Stony Brook, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York at Stony Brook, NY, 11794-2350, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]},{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar M. Djuric","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State University of New York, Stony Brook, Stony Brook, NY, USA","Department of Electrical and Computer Engineering, State University of New York at Stony Brook, NY, 11794-2350, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York, Stony Brook, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York at Stony Brook, NY, 11794-2350, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068887242"],"corresponding_institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":1.6207,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80733945,"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":"II","last_page":"1617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9918000102043152,"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":0.9866999983787537,"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/fading","display_name":"Fading","score":0.9219821691513062},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7313065528869629},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.63739413022995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096996068954468},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5799650549888611},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5615097284317017},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4882841110229492},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46453219652175903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24958637356758118},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1431957483291626},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11818358302116394},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.10774970054626465}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.9219821691513062},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7313065528869629},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.63739413022995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096996068954468},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5799650549888611},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5615097284317017},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4882841110229492},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46453219652175903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24958637356758118},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1431957483291626},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11818358302116394},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.10774970054626465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5744927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5744927","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":7,"referenced_works":["https://openalex.org/W2022023686","https://openalex.org/W2127848232","https://openalex.org/W2131598171","https://openalex.org/W2150024051","https://openalex.org/W2165609874","https://openalex.org/W4244486013","https://openalex.org/W6684433364"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2120897947","https://openalex.org/W2030191005","https://openalex.org/W1865172210","https://openalex.org/W2027568561","https://openalex.org/W2790025453","https://openalex.org/W1521521035"],"abstract_inverted_index":{"Particle":[0],"filtering":[1,24],"has":[2],"drawn":[3],"much":[4],"attention":[5],"in":[6,22,64,67],"recent":[7],"years":[8],"due":[9],"to":[10,13],"its":[11,74],"capacity":[12],"handle":[14],"nonlinear":[15],"and":[16,48,76],"non-Gaussian":[17],"problems.":[18],"One":[19],"crucial":[20],"issue":[21],"particle":[23],"is-the":[25],"selection":[26],"of":[27,38,59],"importance":[28,39,51,62],"function.":[29],"In":[30,53],"this":[31],"paper,":[32],"we":[33,55],"propose":[34],"a":[35],"new":[36],"type":[37],"function,":[40],"which":[41],"possess":[42],"advantages":[43],"over":[44],"both":[45],"the":[46,49,57,60],"posterior":[47],"prior":[50],"functions.":[52],"addition,":[54],"demonstrate":[56],"use":[58],"proposed":[61],"function":[63],"blind":[65],"detection":[66],"flat":[68],"fading":[69],"channels.":[70],"Simulation":[71],"results":[72],"show":[73],"efficiency":[75],"performance.":[77]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
