{"id":"https://openalex.org/W3172899084","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443313","title":"Constrained Maximum Likelihood Channel Estimation for CoFAR","display_name":"Constrained Maximum Likelihood Channel Estimation for CoFAR","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3172899084","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443313","mag":"3172899084"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075951419","display_name":"Bosung Kang","orcid":"https://orcid.org/0000-0001-9429-4537"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bosung Kang","raw_affiliation_strings":["University of Dayton Research Institute,Dayton,OH,USA","University of Dayton Research Institute, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dayton Research Institute,Dayton,OH,USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"University of Dayton Research Institute, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087227905","display_name":"Sandeep Gogineni","orcid":"https://orcid.org/0000-0002-7174-9997"},"institutions":[{"id":"https://openalex.org/I4210140678","display_name":"Information Systems Laboratories (United States)","ror":"https://ror.org/049k0qb06","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140678"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandeep Gogineni","raw_affiliation_strings":["Information Systems Laboratories Inc,San Diego,CA,USA","Information Systems Laboratories Inc, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Laboratories Inc,San Diego,CA,USA","institution_ids":["https://openalex.org/I4210140678"]},{"raw_affiliation_string":"Information Systems Laboratories Inc, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210140678"]}]},{"author_position":"middle","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"]},{"id":"https://openalex.org/I2799950915","display_name":"Wright-Patterson Air Force Base","ror":"https://ror.org/0097e1k27","country_code":"US","type":"other","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2799950915","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muralidhar Rangaswamy","raw_affiliation_strings":["WPAFB,Air Force Research Laboratory,OH,USA","Air Force Research Laboratory, WPAFB, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WPAFB,Air Force Research Laboratory,OH,USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory, WPAFB, OH, USA","institution_ids":["https://openalex.org/I1280414376","https://openalex.org/I2799950915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024916267","display_name":"J.R. Guerci","orcid":"https://orcid.org/0000-0001-6785-7787"},"institutions":[{"id":"https://openalex.org/I4210140678","display_name":"Information Systems Laboratories (United States)","ror":"https://ror.org/049k0qb06","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140678"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph R. Guerci","raw_affiliation_strings":["Information Systems Laboratories Inc,San Diego,CA,USA","Information Systems Laboratories Inc, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Laboratories Inc,San Diego,CA,USA","institution_ids":["https://openalex.org/I4210140678"]},{"raw_affiliation_string":"Information Systems Laboratories Inc, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210140678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.179,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9310578,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1162","last_page":"1166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9987999796867371,"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/semidefinite-programming","display_name":"Semidefinite programming","score":0.6231618523597717},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.526498019695282},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.517073929309845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4976363480091095},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.49492353200912476},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4820590913295746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4746725559234619},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4711284339427948},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4446919560432434},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4236252009868622},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4145497679710388},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41097673773765564},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3789671063423157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3784424960613251},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.18374162912368774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13074880838394165}],"concepts":[{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.6231618523597717},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.526498019695282},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.517073929309845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4976363480091095},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.49492353200912476},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4820590913295746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4746725559234619},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4711284339427948},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4446919560432434},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4236252009868622},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4145497679710388},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41097673773765564},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3789671063423157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3784424960613251},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.18374162912368774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13074880838394165},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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":11,"referenced_works":["https://openalex.org/W95927789","https://openalex.org/W1507047903","https://openalex.org/W1544933314","https://openalex.org/W2071652847","https://openalex.org/W2134320350","https://openalex.org/W2435749319","https://openalex.org/W2803463323","https://openalex.org/W2912522929","https://openalex.org/W2973728973","https://openalex.org/W3148892937","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2352839224","https://openalex.org/W2371590971","https://openalex.org/W2203098598","https://openalex.org/W1653317167","https://openalex.org/W1989828432","https://openalex.org/W2187390889","https://openalex.org/W2135796990","https://openalex.org/W2024017812","https://openalex.org/W2000645105"],"abstract_inverted_index":{"This":[0],"paper":[1,20],"considers":[2],"estimation":[3,60],"of":[4,8,94,152],"channel":[5,38,59,86],"state":[6],"information":[7],"a":[9,24,37,47,55,67,95,104,123,140,157],"radar":[10,14],"system.":[11],"The":[12],"underlying":[13],"signal":[15],"model":[16],"considered":[17],"in":[18,92],"this":[19,29],"is":[21,122],"based":[22,51],"on":[23,156],"stochastic":[25,48],"Green\u2019s":[26,49],"function.":[27],"In":[28],"model,":[30],"clutter":[31],"returns":[32],"can":[33,63],"be":[34,64],"modeled":[35],"using":[36,46,139,160],"matrix":[39],"with":[40],"entries":[41],"computed":[42],"from":[43],"fundamental":[44],"physics":[45],"function":[50],"approach.":[52,143],"We":[53,80,134],"propose":[54],"maximum":[56],"likelihood":[57],"(ML)":[58],"algorithm":[61],"which":[62],"expressed":[65],"by":[66],"constrained":[68,126],"least":[69,105],"squares":[70,106],"problem":[71,107,121,138],"under":[72,108],"independent":[73],"and":[74,164],"identically":[75],"distributed":[76],"(i.i.d.)":[77],"Gaussian":[78],"assumption.":[79],"first":[81],"show":[82],"that":[83,117],"the":[84,109,118,130,136,150,153,161],"adjacent":[85],"transfer":[87],"functions":[88],"have":[89],"close":[90],"relationship":[91],"terms":[93],"squared":[96,110],"cosine":[97,111],"similarity":[98,112],"measurement.":[99],"Then":[100],"we":[101],"set":[102],"up":[103],"constraint.":[113],"It":[114],"turns":[115],"out":[116],"derived":[119],"optimization":[120,137],"non-convex":[124],"quadratically":[125],"quadratic":[127],"programming,":[128],"however,":[129],"strong":[131],"duality":[132],"holds.":[133],"solve":[135],"semidefinite":[141],"relaxation":[142],"Numerical":[144],"simulations":[145],"are":[146],"provided":[147],"to":[148],"verify":[149],"performance":[151],"proposed":[154],"method":[155],"dataset":[158],"generated":[159],"high-fidelity":[162],"modeling":[163],"simulation":[165],"tool":[166],"RFView\u00ae.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}