{"id":"https://openalex.org/W3180356169","doi":"https://doi.org/10.23919/eusipco54536.2021.9615968","title":"Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection","display_name":"Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3180356169","doi":"https://doi.org/10.23919/eusipco54536.2021.9615968","mag":"3180356169"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9615968","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615968","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2107.03792","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087034940","display_name":"Tristan S.W. Stevens","orcid":"https://orcid.org/0000-0002-8563-5931"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tristan S.W. Stevens","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006623580","display_name":"R. Firat Tigrek","orcid":"https://orcid.org/0000-0002-7733-7184"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"R. Firat Tigrek","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020208188","display_name":"Eric S. Tammam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric S. Tammam","raw_affiliation_strings":["Anachoic Ltd, Israel"],"affiliations":[{"raw_affiliation_string":"Anachoic Ltd, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042985821","display_name":"Ruud J. G. van Sloun","orcid":"https://orcid.org/0000-0003-2845-0495"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ruud J.G. van Sloun","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087034940"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":2.26,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87391178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1780","last_page":"1784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9842000007629395,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8744251728057861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7260205745697021},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7024750709533691},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6235501170158386},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5996755957603455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5820087790489197},{"id":"https://openalex.org/keywords/downstream","display_name":"Downstream (manufacturing)","score":0.5555239915847778},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.550630509853363},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48216527700424194},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.45356911420822144},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4271162152290344},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3797536790370941},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35892820358276367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23411977291107178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19378963112831116},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.13242071866989136},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11776241660118103}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8744251728057861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260205745697021},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7024750709533691},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6235501170158386},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5996755957603455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5820087790489197},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.5555239915847778},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.550630509853363},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48216527700424194},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.45356911420822144},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4271162152290344},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3797536790370941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35892820358276367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23411977291107178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19378963112831116},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.13242071866989136},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11776241660118103},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9615968","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615968","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/1d11101d-33e1-495d-90a0-a8b6713ed331","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/1d11101d-33e1-495d-90a0-a8b6713ed331","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Stevens, T S W, Firat Tigrek, R, Tammam, E S & van Sloun, R J G 2021, Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection. in 2021 29th European Signal Processing Conference (EUSIPCO)., 9615968, Institute of Electrical and Electronics Engineers, pp. 1780-1784, 29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, 23/08/21. https://doi.org/10.23919/EUSIPCO54536.2021.9615968","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:2107.03792","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.03792","pdf_url":"https://arxiv.org/pdf/2107.03792","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:tue:oai:pure.tue.nl:publications/1d11101d-33e1-495d-90a0-a8b6713ed331","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/1d11101d-33e1-495d-90a0-a8b6713ed331","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO), 1780 - 1784","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.03792","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.03792","pdf_url":"https://arxiv.org/pdf/2107.03792","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W595851582","https://openalex.org/W1757796397","https://openalex.org/W2063146632","https://openalex.org/W2087194184","https://openalex.org/W2117454350","https://openalex.org/W2121863487","https://openalex.org/W2165150801","https://openalex.org/W2173248099","https://openalex.org/W2620866984","https://openalex.org/W2736702798","https://openalex.org/W2796347433","https://openalex.org/W2811404158","https://openalex.org/W2903687574","https://openalex.org/W2919373816","https://openalex.org/W2963864421","https://openalex.org/W2974922121","https://openalex.org/W2982363866","https://openalex.org/W2996476754","https://openalex.org/W3036812998","https://openalex.org/W3045897655","https://openalex.org/W3104100176","https://openalex.org/W4293584584","https://openalex.org/W4298857966","https://openalex.org/W4302570325","https://openalex.org/W6637967152","https://openalex.org/W6672370122","https://openalex.org/W6684921986","https://openalex.org/W6750227808","https://openalex.org/W6781156083"],"related_works":["https://openalex.org/W1583765404","https://openalex.org/W4214653257","https://openalex.org/W4306904969","https://openalex.org/W2055438207","https://openalex.org/W2521424917","https://openalex.org/W3040203686","https://openalex.org/W4249524554","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855"],"abstract_inverted_index":{"Cognitive":[0],"radars":[1],"are":[2],"systems":[3],"that":[4,27],"rely":[5],"on":[6],"learning":[7,41,117],"through":[8],"interactions":[9],"of":[10,38,87,100,103,108],"the":[11,14,36,50,62,71,82,88,109,115],"radar":[12,20,83,110],"with":[13,85,105],"surrounding":[15],"environment.":[16],"To":[17],"realize":[18],"this,":[19],"transmit":[21],"parameters":[22,111],"can":[23],"be":[24,67],"adapted":[25],"such":[26],"they":[28],"facilitate":[29],"some":[30],"downstream":[31,63],"task.":[32,53],"This":[33,95],"paper":[34],"proposes":[35],"use":[37,86],"deep":[39],"reinforcement":[40],"(RL)":[42],"to":[43,112],"learn":[44],"policies":[45],"for":[46,61,98],"gain":[47],"control":[48],"under":[49],"object":[51,57],"detection":[52],"The":[54],"YOLOv3":[55],"single-shot":[56],"detector":[58],"is":[59,78],"used":[60,69],"task":[64],"and":[65],"will":[66],"concurrently":[68],"alongside":[70],"RL":[72],"agent.":[73],"Furthermore,":[74],"a":[75],"synthetic":[76],"dataset":[77],"introduced":[79],"which":[80],"models":[81],"environment":[84],"Grand":[89],"Theft":[90],"Auto":[91],"V":[92],"game":[93],"engine.":[94],"approach":[96],"allows":[97],"simulation":[99],"vast":[101],"amounts":[102],"data":[104],"flexible":[106],"assignment":[107],"aid":[113],"in":[114],"active":[116],"process.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
