{"id":"https://openalex.org/W2080173451","doi":"https://doi.org/10.1109/icc.2013.6655294","title":"A fast iterative Bayesian inference algorithm for sparse channel estimation","display_name":"A fast iterative Bayesian inference algorithm for sparse channel estimation","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2080173451","doi":"https://doi.org/10.1109/icc.2013.6655294","mag":"2080173451"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2013.6655294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2013.6655294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/ws/files/185629977/1569666039.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112015309","display_name":"Niels Lovmand Pedersen","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Niels Lovmand Pedersen","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark","[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029860813","display_name":"Carles Navarro Manch\u00f3n","orcid":"https://orcid.org/0000-0001-8912-6758"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Carles Navarro Manchon","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark","[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064657299","display_name":"Bernard H. Fleury","orcid":"https://orcid.org/0000-0002-9061-3083"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Bernard Henri Fleury","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark","[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112015309"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":1.2923,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80998147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4591","last_page":"4596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991999864578247,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991999864578247,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/algorithm","display_name":"Algorithm","score":0.6664659976959229},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6227880716323853},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6174312829971313},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6134583950042725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5873965620994568},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.49585995078086853},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4633316099643707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29251164197921753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.243817538022995},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.197549968957901}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6664659976959229},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6227880716323853},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6174312829971313},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6134583950042725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5873965620994568},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.49585995078086853},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4633316099643707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29251164197921753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.243817538022995},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.197549968957901},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icc.2013.6655294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2013.6655294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/75b3239c-7b8c-4163-9d25-51f31006a812","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/75b3239c-7b8c-4163-9d25-51f31006a812","pdf_url":"https://vbn.aau.dk/ws/files/185629977/1569666039.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Pedersen, N L, Manch\u00f3n, C N & Fleury, B H 2013, A Fast Iterative Bayesian Inference Algorithm for Sparse Channel Estimation. in Communications (ICC), 2013 IEEE International Conference on. I E E E International Conference on Communications, pp. 4591-4596, I E E E International Conference on Communications, Budapest, Hungary, 09/06/2013. https://doi.org/10.1109/ICC.2013.6655294","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.757.2303","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.757.2303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1303.1312.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/75b3239c-7b8c-4163-9d25-51f31006a812","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/75b3239c-7b8c-4163-9d25-51f31006a812","pdf_url":"https://vbn.aau.dk/ws/files/185629977/1569666039.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Pedersen, N L, Manch\u00f3n, C N & Fleury, B H 2013, A Fast Iterative Bayesian Inference Algorithm for Sparse Channel Estimation. in Communications (ICC), 2013 IEEE International Conference on. I E E E International Conference on Communications, pp. 4591-4596, I E E E International Conference on Communications, Budapest, Hungary, 09/06/2013. https://doi.org/10.1109/ICC.2013.6655294","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310665","display_name":"H\u00f8jteknologifonden","ror":null},{"id":"https://openalex.org/F4320321409","display_name":"Aalborg Universitet","ror":"https://ror.org/04m5j1k67"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2080173451.pdf","grobid_xml":"https://content.openalex.org/works/W2080173451.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1562979145","https://openalex.org/W1633751774","https://openalex.org/W1740216830","https://openalex.org/W1985761548","https://openalex.org/W1986931325","https://openalex.org/W2028517088","https://openalex.org/W2030678260","https://openalex.org/W2045407304","https://openalex.org/W2051742259","https://openalex.org/W2065513175","https://openalex.org/W2071284784","https://openalex.org/W2078204800","https://openalex.org/W2088525693","https://openalex.org/W2101374845","https://openalex.org/W2116148865","https://openalex.org/W2122315118","https://openalex.org/W2126607811","https://openalex.org/W2131665779","https://openalex.org/W2132381218","https://openalex.org/W2135046866","https://openalex.org/W2137628444","https://openalex.org/W2146571341","https://openalex.org/W2148154358","https://openalex.org/W2157195543","https://openalex.org/W2171075378","https://openalex.org/W2289917018","https://openalex.org/W2964214854","https://openalex.org/W3149599232","https://openalex.org/W4285719527","https://openalex.org/W6636690510","https://openalex.org/W6680156768"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W4297815943","https://openalex.org/W2053745677","https://openalex.org/W2189378472"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,38,48],"Bayesian":[6,53,69],"channel":[7],"estimation":[8,79],"algorithm":[9],"for":[10],"multicarrier":[11],"receivers":[12],"based":[13],"on":[14],"pilot":[15],"symbol":[16],"observations.":[17],"The":[18,63],"inherent":[19],"sparse":[20],"nature":[21],"of":[22,33,41],"wireless":[23],"multipath":[24,34],"channels":[25],"is":[26,56],"exploited":[27],"by":[28,74,82],"modeling":[29],"the":[30,42,60,84],"prior":[31],"distribution":[32],"components'":[35],"gains":[36],"with":[37,87],"hierarchical":[39],"representation":[40],"Bessel":[43],"K":[44],"probability":[45],"density":[46],"function;":[47],"highly":[49],"efficient,":[50],"fast":[51],"iterative":[52],"inference":[54],"method":[55],"then":[57],"applied":[58],"to":[59],"proposed":[61],"model.":[62],"resulting":[64],"estimator":[65],"outperforms":[66],"other":[67],"state-of-the-art":[68],"and":[70],"non-Bayesian":[71],"estimators,":[72],"either":[73],"yielding":[75],"lower":[76],"mean":[77],"squared":[78],"error":[80],"or":[81],"attaining":[83],"same":[85],"accuracy":[86],"improved":[88],"convergence":[89],"rate,":[90],"as":[91],"shown":[92],"in":[93],"our":[94],"numerical":[95],"evaluation.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}