{"id":"https://openalex.org/W4387872872","doi":"https://doi.org/10.1109/mlsp55844.2023.10285994","title":"2D-Radar Imaging With Deep Convolutional Neural Networks","display_name":"2D-Radar Imaging With Deep Convolutional Neural Networks","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387872872","doi":"https://doi.org/10.1109/mlsp55844.2023.10285994"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285994","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5023526681","display_name":"Mumin Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I117023288","display_name":"Analog Devices (United States)","ror":"https://ror.org/01545pm61","country_code":"US","type":"company","lineage":["https://openalex.org/I117023288"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mumin Jin","raw_affiliation_strings":["MIT,Dept. EECS,Cambridge,MA,02139","Analog Devices, Inc. (Analog Garage), Boston, MA"],"affiliations":[{"raw_affiliation_string":"MIT,Dept. EECS,Cambridge,MA,02139","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"Analog Devices, Inc. (Analog Garage), Boston, MA","institution_ids":["https://openalex.org/I117023288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070584555","display_name":"Atulya Yellepeddi","orcid":null},"institutions":[{"id":"https://openalex.org/I117023288","display_name":"Analog Devices (United States)","ror":"https://ror.org/01545pm61","country_code":"US","type":"company","lineage":["https://openalex.org/I117023288"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atulya Yellepeddi","raw_affiliation_strings":["Analog Devices, Inc. (Analog Garage),Boston,MA,02110"],"affiliations":[{"raw_affiliation_string":"Analog Devices, Inc. (Analog Garage),Boston,MA,02110","institution_ids":["https://openalex.org/I117023288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066172831","display_name":"Gregory W. Wornell","orcid":"https://orcid.org/0000-0001-9166-4758"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory Wornell","raw_affiliation_strings":["MIT,Dept. EECS,Cambridge,MA,02139"],"affiliations":[{"raw_affiliation_string":"MIT,Dept. EECS,Cambridge,MA,02139","institution_ids":["https://openalex.org/I4210110987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023526681"],"corresponding_institution_ids":["https://openalex.org/I117023288","https://openalex.org/I4210110987"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06797837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9997000098228455,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714748382568359},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7483404278755188},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6736650466918945},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.6684329509735107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135606169700623},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.6072631478309631},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.5576380491256714},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5184340476989746},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4873574376106262},{"id":"https://openalex.org/keywords/radar-lock-on","display_name":"Radar lock-on","score":0.486371785402298},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45398253202438354},{"id":"https://openalex.org/keywords/3d-radar","display_name":"3D radar","score":0.4494360685348511},{"id":"https://openalex.org/keywords/man-portable-radar","display_name":"Man-portable radar","score":0.4444604516029358},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42966586351394653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27924346923828125},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19358202815055847},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13112205266952515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714748382568359},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7483404278755188},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6736650466918945},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.6684329509735107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135606169700623},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.6072631478309631},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.5576380491256714},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5184340476989746},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4873574376106262},{"id":"https://openalex.org/C185565061","wikidata":"https://www.wikidata.org/wiki/Q6878284","display_name":"Radar lock-on","level":5,"score":0.486371785402298},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45398253202438354},{"id":"https://openalex.org/C81076408","wikidata":"https://www.wikidata.org/wiki/Q229387","display_name":"3D radar","level":5,"score":0.4494360685348511},{"id":"https://openalex.org/C161475128","wikidata":"https://www.wikidata.org/wiki/Q6746448","display_name":"Man-portable radar","level":5,"score":0.4444604516029358},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42966586351394653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27924346923828125},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19358202815055847},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13112205266952515}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285994","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309065","display_name":"Analog Devices","ror":"https://ror.org/01545pm61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2034619772","https://openalex.org/W2051275493","https://openalex.org/W2082029531","https://openalex.org/W2104750292","https://openalex.org/W2113484718","https://openalex.org/W2113638573","https://openalex.org/W2130075610","https://openalex.org/W2139961842","https://openalex.org/W2140856955","https://openalex.org/W2151693816","https://openalex.org/W2592680288","https://openalex.org/W2973595938","https://openalex.org/W2980216782","https://openalex.org/W3023422285","https://openalex.org/W3040360205","https://openalex.org/W4225966544","https://openalex.org/W4285303928","https://openalex.org/W4379116751","https://openalex.org/W4385245566","https://openalex.org/W6676038920","https://openalex.org/W6739901393","https://openalex.org/W6776987367","https://openalex.org/W6809882432"],"related_works":["https://openalex.org/W4380451819","https://openalex.org/W2807545795","https://openalex.org/W3214971438","https://openalex.org/W2532810734","https://openalex.org/W2154173676","https://openalex.org/W1510392950","https://openalex.org/W2114578438","https://openalex.org/W1963931428","https://openalex.org/W2141570987","https://openalex.org/W2896567516"],"abstract_inverted_index":{"Millimeter-wave":[0],"(mmWave)":[1],"frequency-modulated":[2],"continuous-waveform":[3],"(FMCW)":[4],"radar":[5,42,51,104,117,139],"technology":[6],"has":[7],"become":[8],"widely":[9],"used":[10],"for":[11,66],"advanced":[12],"driver":[13],"assistance":[14],"systems":[15],"(ADAS)":[16],"because":[17],"of":[18,31,39,49,81,106],"its":[19],"ability":[20],"to":[21,61,101,115],"operate":[22],"in":[23,53],"harsh":[24],"environmental":[25],"conditions":[26],"and":[27,33,132,148],"provide":[28],"direct":[29],"measurements":[30],"range":[32],"velocity.":[34],"However,":[35],"the":[36,47,78],"spatial":[37],"resolution":[38,65],"an":[40],"FMCW":[41],"system":[43,93,112],"is":[44,113],"limited":[45],"by":[46,151],"number":[48],"individual":[50],"elements":[52],"it.":[54],"While":[55],"many":[56,73],"algorithms":[57,128],"have":[58,76],"been":[59],"developed":[60],"increase":[62],"sensor":[63],"array":[64],"sparsely":[67],"populated":[68],"scenes":[69,75],"with":[70],"simplistic":[71],"priors,":[72],"real-world":[74],"neither":[77],"required":[79],"level":[80],"sparsity":[82],"nor":[83],"easily":[84],"described":[85],"priors.":[86],"In":[87],"this":[88],"work,":[89],"we":[90],"propose":[91],"a":[92,153],"that":[94,120],"uses":[95],"deep":[96],"convolutional":[97],"neural":[98,157],"networks":[99],"(DCNN)":[100],"produce":[102],"high-resolution":[103],"images":[105],"realistic":[107],"driving":[108],"scenes.":[109],"Our":[110],"proposed":[111],"able":[114],"generate":[116],"point":[118],"clouds":[119],"are":[121],"five":[122],"times":[123],"as":[124,126,130,145],"dense":[125],"traditional":[127],"such":[129,144],"MUSIC":[131],"Orthogonal":[133],"Matching":[134],"Pursuit":[135],"(OMP)":[136],"from":[137],"simulated":[138],"data,":[140],"enabling":[141],"downstream":[142],"tasks":[143],"object":[146],"detection":[147],"target":[149],"classification":[150],"either":[152],"human":[154],"or":[155],"another":[156],"network.":[158]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}