{"id":"https://openalex.org/W2604541325","doi":"https://doi.org/10.3233/978-1-61499-722-1-267","title":"PMDA-Schemed EM Channel Estimator for OFDM Systems","display_name":"PMDA-Schemed EM Channel Estimator for OFDM Systems","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2604541325","doi":"https://doi.org/10.3233/978-1-61499-722-1-267","mag":"2604541325"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-722-1-267","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-722-1-267","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5103657185","display_name":"LI Xiao-fei","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Xiao-Fei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040125616","display_name":"Di He","orcid":"https://orcid.org/0000-0002-3019-0410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He Di","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116395846","display_name":"Chen Xiao-Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Xiao-Hua","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103657185"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32129594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5808336734771729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5010745525360107},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4418491721153259},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.4409328103065491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34228700399398804},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2782493233680725}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5808336734771729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5010745525360107},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4418491721153259},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.4409328103065491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34228700399398804},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2782493233680725}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-722-1-267","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-722-1-267","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2049633694","https://openalex.org/W2080043288","https://openalex.org/W2149587304","https://openalex.org/W2152977846","https://openalex.org/W2615953416","https://openalex.org/W4245883374"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W4245953108","https://openalex.org/W1977619534","https://openalex.org/W2236763869","https://openalex.org/W2097626286","https://openalex.org/W4293568347","https://openalex.org/W2808230936","https://openalex.org/W2023659367"],"abstract_inverted_index":{"Channel":[0],"estimation":[1,63,75,88],"is":[2,15,28,56,129],"a":[3],"challenging":[4],"problem":[5],"in":[6],"an":[7],"Orthogonal":[8],"frequency":[9],"division":[10],"multiplexing":[11],"(OFDM)":[12],"system,":[13],"where":[14],"met":[16],"with":[17,44],"frequency-selective":[18],"Rayleigh":[19],"fading.":[20],"The":[21],"Poor":[22],"man's":[23],"Data":[24],"Augmentation":[25],"(PMDA)":[26],"estimator":[27,70,83,120,128],"proposed":[29],"to":[30,58,71],"efficiently":[31,59],"estimate":[32],"the":[33,61,65,68,73,77,85,94,101,109,118,124,132],"channel":[34,62,87],"impulse":[35],"response":[36],"(CIR)":[37],"making":[38],"use":[39,66],"of":[40,53,67,126],"multipath":[41],"fading":[42],"channels":[43],"additive":[45],"white":[46],"Gaussian":[47],"noise":[48],"(AWGN).":[49],"A":[50],"modest":[51],"number":[52],"pilot":[54],"tones":[55],"used":[57,116],"improve":[60],"by":[64,108,117],"PMDA":[69,110,127],"obtain":[72],"initial":[74],"for":[76],"iterative":[78],"procedure.":[79],"Using":[80],"Cramer-Rao-like-lower":[81],"(CRLB)":[82],"as":[84],"unbiased":[86],"criterion,":[89],"simulation":[90],"results":[91],"illustrate":[92],"that":[93,123],"bit":[95],"error":[96,104],"rate":[97],"(BER)":[98],"performance":[99,106],"and":[100,121],"mean":[102],"square":[103],"(MSE)":[105],"estimated":[107],"algorithm":[111],"are":[112],"better":[113],"than":[114,131],"those":[115],"EM":[119,133],"reveals":[122],"convergence":[125],"faster":[130],"estimators.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}