{"id":"https://openalex.org/W4385801242","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200157","title":"Deep Learning-based Estimation for Multitarget Radar Detection","display_name":"Deep Learning-based Estimation for Multitarget Radar Detection","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385801242","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200157"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-spring57618.2023.10200157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","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/A5020109741","display_name":"Mamady Delamou","orcid":"https://orcid.org/0000-0002-4084-7156"},"institutions":[{"id":"https://openalex.org/I4210131560","display_name":"Universit\u00e9 Mohammed VI Polytechnique","ror":"https://ror.org/03xc55g68","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210131560"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mamady Delamou","raw_affiliation_strings":["Mohammed VI Polytechnic University,School of Computer Science,Ben Guerir,Morocco","School of Computer Science, Mohammed VI Polytechnic University, Ben Guerir, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohammed VI Polytechnic University,School of Computer Science,Ben Guerir,Morocco","institution_ids":["https://openalex.org/I4210131560"]},{"raw_affiliation_string":"School of Computer Science, Mohammed VI Polytechnic University, Ben Guerir, Morocco","institution_ids":["https://openalex.org/I4210131560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030039474","display_name":"Ahmad Bazzi","orcid":"https://orcid.org/0000-0002-7645-352X"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmad Bazzi","raw_affiliation_strings":["New York University (NYU),Engineering Division,Abu Dhabi,UAE","Engineering Division, New York University (NYU), Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University (NYU),Engineering Division,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Engineering Division, New York University (NYU), Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026039370","display_name":"Marwa Chafii","orcid":"https://orcid.org/0000-0003-0314-6585"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marwa Chafii","raw_affiliation_strings":["New York University (NYU),Engineering Division,Abu Dhabi,UAE","Engineering Division, New York University (NYU), Abu Dhabi, UAE","NYU Tandon School of Engineering, NYU WIRELESS, Brooklyn, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University (NYU),Engineering Division,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Engineering Division, New York University (NYU), Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"NYU Tandon School of Engineering, NYU WIRELESS, Brooklyn, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015886631","display_name":"El Mehdi Amhoud","orcid":"https://orcid.org/0000-0001-6630-5083"},"institutions":[{"id":"https://openalex.org/I4210131560","display_name":"Universit\u00e9 Mohammed VI Polytechnique","ror":"https://ror.org/03xc55g68","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210131560"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"El Mehdi Amhoud","raw_affiliation_strings":["Mohammed VI Polytechnic University,School of Computer Science,Ben Guerir,Morocco","School of Computer Science, Mohammed VI Polytechnic University, Ben Guerir, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohammed VI Polytechnic University,School of Computer Science,Ben Guerir,Morocco","institution_ids":["https://openalex.org/I4210131560"]},{"raw_affiliation_string":"School of Computer Science, Mohammed VI Polytechnic University, Ben Guerir, Morocco","institution_ids":["https://openalex.org/I4210131560"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364675998687744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6402789950370789},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5934664011001587},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5793265104293823},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5210170745849609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5106444954872131},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.48538029193878174},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.48460420966148376},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4421660006046295},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4396442174911499},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41916772723197937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3295729160308838},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22784408926963806},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12834373116493225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364675998687744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6402789950370789},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5934664011001587},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5793265104293823},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5210170745849609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5106444954872131},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.48538029193878174},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.48460420966148376},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4421660006046295},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4396442174911499},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41916772723197937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3295729160308838},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22784408926963806},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12834373116493225},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-spring57618.2023.10200157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","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":29,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1932847118","https://openalex.org/W1968079322","https://openalex.org/W2109727722","https://openalex.org/W2117661397","https://openalex.org/W2194775991","https://openalex.org/W2334576536","https://openalex.org/W2440607679","https://openalex.org/W2618008015","https://openalex.org/W2904052998","https://openalex.org/W3049511683","https://openalex.org/W3107159576","https://openalex.org/W3111271387","https://openalex.org/W3118382804","https://openalex.org/W3152666233","https://openalex.org/W3163053569","https://openalex.org/W3207084381","https://openalex.org/W3211270128","https://openalex.org/W4297726665","https://openalex.org/W4301187314","https://openalex.org/W4317033507","https://openalex.org/W4323345732","https://openalex.org/W6637373629","https://openalex.org/W6676157173","https://openalex.org/W6677655699","https://openalex.org/W6756913404","https://openalex.org/W6763299402","https://openalex.org/W6793734179","https://openalex.org/W6843576736"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4385545089","https://openalex.org/W2045818635"],"abstract_inverted_index":{"Target":[0],"detection":[1],"and":[2,30,53,78,88,91,107,165,173],"recognition":[3],"is":[4,142],"a":[5,10,14,39,44,120,143],"very":[6],"challenging":[7],"task":[8],"in":[9,110,177],"wireless":[11],"environment":[12],"where":[13],"multitude":[15],"of":[16,55,63,83,105,129,150,179],"objects":[17],"are":[18],"located,":[19],"whether":[20],"to":[21,27,49,72,79,113,137,146,161],"effectively":[22],"determine":[23],"their":[24,32],"positions":[25],"or":[26,157],"identify":[28],"them":[29],"predict":[31],"moves.":[33],"In":[34],"this":[35],"work,":[36],"we":[37,125,167],"propose":[38],"new":[40],"method":[41],"based":[42],"on":[43],"convolutional":[45],"neural":[46],"network":[47,90],"(CNN)":[48],"estimate":[50],"the":[51,60,64,69,73,80,84,94,127,134,148,162],"range":[52,106],"velocity":[54,108],"moving":[56],"targets":[57],"directly":[58],"from":[59,155],"range-Doppler":[61],"map":[62],"detected":[65],"signals.":[66],"We":[67],"compare":[68],"obtained":[70,154],"results":[71],"two":[74],"dimensional":[75],"(2D)":[76],"periodogram,":[77],"similar":[81],"state":[82],"art":[85],"methods,":[86],"2DResFreq":[87,164],"VGG-19":[89],"show":[92],"that":[93],"estimation":[95,103],"process":[96],"performed":[97],"with":[98,119],"our":[99,130],"model":[100],"provides":[101],"better":[102],"accuracy":[104],"index":[109],"different":[111],"signal":[112,136],"noise":[114,138,158],"ratio":[115,139],"(SNR)":[116],"regimes":[117],"along":[118],"reduced":[121],"prediction":[122],"time.":[123],"Afterwards,":[124],"assess":[126],"performance":[128],"proposed":[131],"algorithm":[132],"using":[133],"peak":[135],"(PSNR)":[140],"which":[141],"relevant":[144],"metric":[145],"analyse":[147],"quality":[149],"an":[151],"output":[152],"image":[153],"compression":[156],"reduction.":[159],"Compared":[160],"2D-periodogram,":[163],"VGG-19,":[166],"gain":[168],"33":[169],"dB,":[170,175],"21":[171],"dB":[172],"10":[174],"respectively,":[176],"terms":[178],"PSNR":[180],"when":[181],"SNR":[182],"=":[183],"30":[184],"dB.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}