{"id":"https://openalex.org/W3013874898","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049068","title":"Adaptive Signal Detection in Subspace Interference with Uncertain Prior Knowledge","display_name":"Adaptive Signal Detection in Subspace Interference with Uncertain Prior Knowledge","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013874898","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049068","mag":"3013874898"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9049068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5104044152","display_name":"Yuan Jiang","orcid":"https://orcid.org/0009-0009-8093-4826"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365817","display_name":"Hongbin Li","orcid":"https://orcid.org/0000-0003-1453-847X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongbin Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064635322","display_name":"Muralidhar Rangaswamy","orcid":"https://orcid.org/0000-0003-4830-7637"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muralidhar Rangaswamy","raw_affiliation_strings":["AFRL/RYAP, OH, USA"],"affiliations":[{"raw_affiliation_string":"AFRL/RYAP, OH, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104044152"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20486068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"74","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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/subspace-topology","display_name":"Subspace topology","score":0.8505011200904846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066597938537598},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6273173093795776},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6018001437187195},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5793325304985046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5689851641654968},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4776793122291565},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.45557278394699097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3033209443092346},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.24049735069274902},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.12077349424362183}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8505011200904846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066597938537598},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6273173093795776},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6018001437187195},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5793325304985046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5689851641654968},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4776793122291565},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.45557278394699097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3033209443092346},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24049735069274902},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.12077349424362183},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9049068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W595851582","https://openalex.org/W2000721204","https://openalex.org/W2028823365","https://openalex.org/W2091710249","https://openalex.org/W2103519107","https://openalex.org/W2107820823","https://openalex.org/W2123457453","https://openalex.org/W2125474765","https://openalex.org/W2142495747","https://openalex.org/W2152003238","https://openalex.org/W2166670884","https://openalex.org/W2195058567","https://openalex.org/W2565293665","https://openalex.org/W2622827174","https://openalex.org/W2963206527","https://openalex.org/W2964335534","https://openalex.org/W4285719527","https://openalex.org/W6637895717","https://openalex.org/W6684101231"],"related_works":["https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W4300048032","https://openalex.org/W2089410207","https://openalex.org/W2367577754","https://openalex.org/W2387532542","https://openalex.org/W2362066488"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,38,54],"new":[3],"Bayesian":[4],"learning":[5],"algorithm,":[6],"referred":[7],"to":[8],"as":[9],"the":[10,23,30,46,51,62],"mSKL-GAMP,":[11],"for":[12,41,68],"signal":[13],"detection":[14,91],"in":[15],"subspace":[16,42,55],"interference":[17],"with":[18],"uncertain/partial":[19],"prior":[20],"knowledge":[21],"of":[22,29],"subspace.":[24],"It":[25],"is":[26,81],"an":[27],"extension":[28],"recently":[31],"introduced":[32],"SKL":[33,94],"algorithm":[34],"[1]":[35],"that":[36],"employs":[37],"fixed":[39],"dictionary":[40],"recovery,":[43],"which":[44,71],"causes":[45],"grid-mismatch":[47],"problem.":[48],"mSKL-GAMP":[49,88],"overcomes":[50],"problem":[52],"via":[53],"refining":[56],"procedure.":[57],"In":[58],"addition,":[59],"it":[60],"integrates":[61],"generalized":[63],"approximate":[64],"message":[65],"passing":[66],"(GAMP)":[67],"posterior":[69],"approximation,":[70],"bypasses":[72],"iterative":[73],"matrix":[74],"inversions":[75],"required":[76],"by":[77],"SKL,":[78],"and":[79,95],"thus":[80],"computationally":[82],"much":[83],"simpler.":[84],"Numerical":[85],"results":[86],"show":[87],"yields":[89],"improved":[90],"performance":[92],"over":[93],"other":[96],"benchmark":[97],"schemes.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
