{"id":"https://openalex.org/W2114285770","doi":"https://doi.org/10.1109/icassp.2002.5745108","title":"An iterative maximum a posteriori (MAP) estimator for multiuser detection in synchronous CDMA systems","display_name":"An iterative maximum a posteriori (MAP) estimator for multiuser detection in synchronous CDMA systems","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2114285770","doi":"https://doi.org/10.1109/icassp.2002.5745108","mag":"2114285770"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5745108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745108","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/A5055502132","display_name":"Shannon D. Blunt","orcid":"https://orcid.org/0000-0001-8434-7957"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shannon D. Blunt","raw_affiliation_strings":["Department of Electrical Engineering, University of Missouri, Columbia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Missouri, Columbia, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027768147","display_name":"K. C. Ho","orcid":"https://orcid.org/0000-0002-4883-2151"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. C. Ho","raw_affiliation_strings":["Department of Electrical Engineering, University of Missouri, Columbia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Missouri, Columbia, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055502132"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":1.2376,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81520119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"2313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":1.0,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998999834060669,"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/T10931","display_name":"Direction-of-Arrival Estimation 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"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.8767606019973755},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7187690734863281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6225980520248413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5706014633178711},{"id":"https://openalex.org/keywords/code-division-multiple-access","display_name":"Code division multiple access","score":0.5262117385864258},{"id":"https://openalex.org/keywords/multiuser-detection","display_name":"Multiuser detection","score":0.511910080909729},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48320019245147705},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4700654447078705},{"id":"https://openalex.org/keywords/synchronous-cdma","display_name":"Synchronous CDMA","score":0.4611388146877289},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.45601728558540344},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4373268783092499},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.436156690120697},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43525582551956177},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42095476388931274},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4197566509246826},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4161720275878906},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.41152676939964294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37882617115974426},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34201163053512573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1603696346282959},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15445858240127563},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12322491407394409}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.8767606019973755},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7187690734863281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6225980520248413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5706014633178711},{"id":"https://openalex.org/C47696715","wikidata":"https://www.wikidata.org/wiki/Q233394","display_name":"Code division multiple access","level":2,"score":0.5262117385864258},{"id":"https://openalex.org/C2777104032","wikidata":"https://www.wikidata.org/wiki/Q16324514","display_name":"Multiuser detection","level":3,"score":0.511910080909729},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48320019245147705},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4700654447078705},{"id":"https://openalex.org/C2776153050","wikidata":"https://www.wikidata.org/wiki/Q233394","display_name":"Synchronous CDMA","level":4,"score":0.4611388146877289},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.45601728558540344},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4373268783092499},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.436156690120697},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43525582551956177},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42095476388931274},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4197566509246826},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4161720275878906},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.41152676939964294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37882617115974426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34201163053512573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1603696346282959},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15445858240127563},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12322491407394409},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5745108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745108","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/W2101597519","https://openalex.org/W2126508692","https://openalex.org/W2129076435","https://openalex.org/W2131283014","https://openalex.org/W2132350120","https://openalex.org/W2141350532","https://openalex.org/W2153956130"],"related_works":["https://openalex.org/W4236271946","https://openalex.org/W1933375666","https://openalex.org/W2171748043","https://openalex.org/W2105308860","https://openalex.org/W2106707230","https://openalex.org/W1988209353","https://openalex.org/W1961421472","https://openalex.org/W2172247022","https://openalex.org/W1757249392","https://openalex.org/W2000493594"],"abstract_inverted_index":{"This":[0,21],"paper":[1],"proposes":[2],"an":[3],"iterative":[4],"algorithm":[5,84,117],"for":[6,49],"multiuser":[7],"detection":[8],"in":[9,59],"synchronous":[10],"CDMA":[11],"communication":[12],"systems":[13],"based":[14],"on":[15],"maximum":[16,27],"a":[17,60,82,86,98,119,136],"posteriori":[18],"(MAP)":[19],"estimation.":[20],"approach":[22],"performs":[23],"better":[24],"than":[25,142],"the":[26,33,39,42,52,55,64,75,91,104,107,112,116,123],"likelihood":[28],"(ML)":[29],"estimator":[30],"due":[31],"to":[32,111,122],"use":[34],"of":[35,41,54,66,93,106],"probabilistic":[36],"knowledge":[37,100,114],"regarding":[38],"distribution":[40],"received":[43,125],"signal":[44,56,77],"amplitudes.":[45],"We":[46],"assume":[47],"that":[48,89,102],"every":[50],"user":[51],"PDF":[53],"level":[57],"value":[58],"bit":[61,94,108,126,133,138],"time":[62],"is":[63,81],"average":[65],"two":[67],"Gaussian":[68],"distributions":[69],"centered":[70],"at":[71],"plus":[72],"and":[73,97,128,135],"minus":[74],"mean":[76],"amplitude.":[78],"The":[79],"result":[80],"gradient-based":[83],"containing":[85],"ML":[87,143],"term":[88,101],"determines":[90],"\u201cdirection\u201d":[92],"estimation":[95],"convergence,":[96],"prior":[99,113],"improves":[103],"accuracy":[105],"estimate.":[109],"Due":[110],"term,":[115],"reaches":[118],"minimum":[120],"closer":[121],"true":[124],"values":[127],"therefore":[129],"realizes":[130],"more":[131],"accurate":[132],"estimates":[134],"lower":[137],"error":[139],"rate":[140],"(BER)":[141],"alone.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
