{"id":"https://openalex.org/W3205984513","doi":"https://doi.org/10.1109/iswcs49558.2021.9562220","title":"Spectrum Efficient Distributed LFMCW Radar System for High Resolution Localization","display_name":"Spectrum Efficient Distributed LFMCW Radar System for High Resolution Localization","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3205984513","doi":"https://doi.org/10.1109/iswcs49558.2021.9562220","mag":"3205984513"},"language":"en","primary_location":{"id":"doi:10.1109/iswcs49558.2021.9562220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs49558.2021.9562220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Symposium on Wireless Communication Systems (ISWCS)","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/A5022960120","display_name":"Yen-Chin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yen-Chin Wang","raw_affiliation_strings":["Electrical Engineering Department, University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008128583","display_name":"Danijela \u010cabri\u0107","orcid":"https://orcid.org/0000-0002-5967-2683"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danijela Cabric","raw_affiliation_strings":["Electrical Engineering Department, University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11609","display_name":"Geophysical Methods and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.722761332988739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7121880054473877},{"id":"https://openalex.org/keywords/trilateration","display_name":"Trilateration","score":0.642741322517395},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.63356614112854},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6063527464866638},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.5450561046600342},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.4222230911254883},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.408980131149292},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39316701889038086},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3403922915458679},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1740034818649292},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1605307161808014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06657367944717407}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.722761332988739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121880054473877},{"id":"https://openalex.org/C20832178","wikidata":"https://www.wikidata.org/wiki/Q1146298","display_name":"Trilateration","level":3,"score":0.642741322517395},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.63356614112854},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6063527464866638},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.5450561046600342},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.4222230911254883},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.408980131149292},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39316701889038086},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3403922915458679},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1740034818649292},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1605307161808014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06657367944717407},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iswcs49558.2021.9562220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs49558.2021.9562220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th International Symposium on Wireless Communication Systems (ISWCS)","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":24,"referenced_works":["https://openalex.org/W1508893896","https://openalex.org/W1538006934","https://openalex.org/W1989476724","https://openalex.org/W1999580681","https://openalex.org/W2022691447","https://openalex.org/W2083506609","https://openalex.org/W2116148865","https://openalex.org/W2119667497","https://openalex.org/W2135780853","https://openalex.org/W2145841867","https://openalex.org/W2152860130","https://openalex.org/W2293895826","https://openalex.org/W2508499810","https://openalex.org/W2527317751","https://openalex.org/W2593010854","https://openalex.org/W2766148437","https://openalex.org/W2962676706","https://openalex.org/W2963448239","https://openalex.org/W3041811104","https://openalex.org/W3111474630","https://openalex.org/W3154370045","https://openalex.org/W3205019061","https://openalex.org/W4253925510","https://openalex.org/W6786865117"],"related_works":["https://openalex.org/W2142793224","https://openalex.org/W2904197056","https://openalex.org/W4285814362","https://openalex.org/W4296425733","https://openalex.org/W2892233029","https://openalex.org/W4352982730","https://openalex.org/W604796468","https://openalex.org/W2103897432","https://openalex.org/W2027415419","https://openalex.org/W3185046528"],"abstract_inverted_index":{"Linear":[0],"frequency":[1],"modulated":[2],"continuous":[3],"wave":[4],"(LFMCW)":[5],"radars":[6],"have":[7],"been":[8],"widely":[9],"used":[10],"for":[11,45],"short/medium":[12],"range":[13,22,60,92],"target":[14],"detection":[15],"and":[16,65,79,119,155,198],"estimation.":[17],"However,":[18],"the":[19,28,31,59,62,70,91,97,106,110,131,137,158,185,196],"resolution":[20,47,139],"of":[21,30,57,61,109,144],"estimation":[23,93],"is":[24],"strictly":[25],"limited":[26],"by":[27,96],"bandwidth":[29,142],"LFMCW":[32,53,76,145],"signal.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,73,160],"propose":[38],"a":[39,51,83,100,149],"compressed-sensing":[40],"based":[41,49,152],"(CS-based)":[42],"localization":[43,48,71,107,125,133,138,164,188],"algorithm":[44,134,151],"high":[46],"on":[50,153],"distributed":[52,112,183],"radar":[54,102,113,171],"system.":[55,114],"Instead":[56],"estimating":[58],"object":[63],"first":[64],"then":[66],"feeding":[67],"it":[68],"to":[69,122,148],"kernel,":[72],"jointly":[74],"process":[75],"beat":[77],"signals":[78],"map":[80],"them":[81],"into":[82],"preconstructed":[84],"dictionary.":[85],"The":[86,176],"proposed":[87,132,186],"one-step":[88],"procedure":[89],"avoids":[90],"bias":[94],"caused":[95],"FFT":[98,154,197],"from":[99,173],"single":[101],"that":[103,130,180],"can":[104,189],"dominate":[105],"error":[108],"entire":[111],"We":[115],"developed":[116],"simulation":[117],"models":[118],"conducted":[120],"experiments":[121],"verify":[123],"our":[124,162],"algorithm.":[126],"Simulation":[127],"results":[128,178],"show":[129],"greatly":[135],"improves":[136],"with":[140,181],"reduced":[141],"requirement":[143],"signal":[146],"compared":[147],"conventional":[150],"trilateration.":[156],"For":[157],"experiments,":[159],"tested":[161],"CS-based":[163,187],"using":[165],"commercial":[166],"off-the-shelf":[167],"sensor":[168],"(COTS)":[169],"mmWave":[170],"board":[172],"Texas":[174],"Instrument.":[175],"experimental":[177],"showed":[179],"3":[182],"radars,":[184],"be":[190],"two":[191],"times":[192],"more":[193],"accurate":[194],"than":[195],"trilateration":[199],"combination.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}