{"id":"https://openalex.org/W1913044948","doi":"https://doi.org/10.1109/icc.2003.1204296","title":"Application of particle filters to MIMO wireless communications","display_name":"Application of particle filters to MIMO wireless communications","publication_year":2004,"publication_date":"2004-03-30","ids":{"openalex":"https://openalex.org/W1913044948","doi":"https://doi.org/10.1109/icc.2003.1204296","mag":"1913044948"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2003.1204296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2003.1204296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2003. ICC '03.","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/A5077862111","display_name":"Kurt Huber","orcid":"https://orcid.org/0000-0002-7934-5524"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"K. Huber","raw_affiliation_strings":["McMaster University, Hamilton, ONT, Canada","McMaster Univ., Hamilton, Ont. Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"McMaster University, Hamilton, ONT, Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"McMaster Univ., Hamilton, Ont. Canada#TAB#","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040530780","display_name":"S. Haykin","orcid":"https://orcid.org/0000-0002-0346-261X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Haykin","raw_affiliation_strings":["McMaster University, Hamilton, ONT, Canada","McMaster Univ., Hamilton, Ont. Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"McMaster University, Hamilton, ONT, Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"McMaster Univ., Hamilton, Ont. Canada#TAB#","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077862111"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":1.6458,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82782978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"2311","last_page":"2315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9966999888420105,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.8618594408035278},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7011528611183167},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5786274671554565},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5480778217315674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5333160161972046},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5087569355964661},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.46592140197753906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4343603253364563},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.39936479926109314},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3358490467071533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3300461769104004},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2979466915130615},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.26526129245758057},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25668442249298096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18358701467514038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07137441635131836}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.8618594408035278},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7011528611183167},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5786274671554565},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5480778217315674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5333160161972046},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5087569355964661},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.46592140197753906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4343603253364563},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.39936479926109314},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3358490467071533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3300461769104004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2979466915130615},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.26526129245758057},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25668442249298096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18358701467514038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07137441635131836},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2003.1204296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2003.1204296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2003. ICC '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W95577512","https://openalex.org/W1483307070","https://openalex.org/W1509783656","https://openalex.org/W1627545668","https://openalex.org/W2003192648","https://openalex.org/W2107080958","https://openalex.org/W2107229032","https://openalex.org/W2118040894","https://openalex.org/W2122168430","https://openalex.org/W2133475491","https://openalex.org/W2151961068","https://openalex.org/W2160337655","https://openalex.org/W2167907369","https://openalex.org/W6636576823"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2030191005","https://openalex.org/W2027568561","https://openalex.org/W2790025453","https://openalex.org/W1521521035","https://openalex.org/W1997240170","https://openalex.org/W3093327599"],"abstract_inverted_index":{"The":[0],"implementation":[1],"of":[2,28,31,40,55,96,125,171,180],"current":[3,130],"space-time":[4],"codes":[5],"is":[6,17,104,152],"often":[7],"performed":[8],"under":[9],"the":[10,13,23,29,32,38,50,53,56,71,86,94,97,111,123,141,149,167,172,177],"assumption":[11],"that":[12,22,76],"additive":[14],"channel":[15,57,66,88,138,144,173],"noise":[16],"white":[18],"and":[19,21,90],"Gaussian,":[20],"receiver":[24],"has":[25],"precise":[26],"knowledge":[27],"realization":[30],"fading":[33,58,73,143],"process.":[34],"Here":[35],"we":[36,133],"study":[37],"application":[39],"particle":[41,135,150],"filters":[42,136],"to":[43,48,85,93,106,121,154,157],"MIMO":[44,131],"systems":[45],"in":[46,52,80,110,166],"order":[47,120],"reduce":[49],"uncertainty":[51,103],"estimation":[54,102,126,159],"coefficients.":[59],"Using":[60],"known":[61],"orthogonal":[62],"training":[63],"sequences":[64],"for":[65,137],"estimation,":[67],"an":[68,146],"analysis":[69],"on":[70],"estimated":[72],"gains":[74],"reveals":[75],"they":[77],"are":[78],"stochastic":[79],"nature":[81,179],"with":[82],"mean":[83],"equal":[84],"true":[87],"gain,":[89],"variance":[91],"proportional":[92],"inverse":[95],"transmit":[98],"power.":[99],"Furthermore,":[100],"this":[101,181],"shown":[105,153],"incur":[107],"a":[108,163],"penalty":[109],"signal-to-noise":[112],"ratio,":[113],"thus":[114],"reducing":[115],"overall":[116],"system":[117],"efficiency.":[118],"In":[119],"mitigate":[122],"effects":[124],"error":[127,169],"suffered":[128],"by":[129,161],"systems,":[132],"use":[134],"tracking.":[139],"Modeling":[140],"wireless":[142],"as":[145],"AR":[147],"process,":[148],"filter":[151],"be":[155],"superior":[156],"conventional":[158],"techniques":[160],"providing":[162],"significant":[164],"decrease":[165],"mean-squared":[168],"(MSE)":[170],"estimate.":[174],"Simulations":[175],"illustrate":[176],"robust":[178],"new":[182],"scheme.":[183]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
