{"id":"https://openalex.org/W4408355548","doi":"https://doi.org/10.1109/icassp49660.2025.10888961","title":"Online waveform selection for cognitive radar","display_name":"Online waveform selection for cognitive radar","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355548","doi":"https://doi.org/10.1109/icassp49660.2025.10888961"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5039286471","display_name":"Thulasi Tholeti","orcid":"https://orcid.org/0000-0001-7213-9050"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thulasi Tholeti","raw_affiliation_strings":["Northeastern University,Institute for Experiential AI,Boston,USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Institute for Experiential AI,Boston,USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059870257","display_name":"Anand Rangarajan","orcid":"https://orcid.org/0000-0001-8695-8436"},"institutions":[{"id":"https://openalex.org/I1340206300","display_name":"Defence Research and Development Organisation","ror":"https://ror.org/05k37v296","country_code":"IN","type":"government","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinash Rangarajan","raw_affiliation_strings":["DYSL-CT Lab DRDO,Chennai,India"],"affiliations":[{"raw_affiliation_string":"DYSL-CT Lab DRDO,Chennai,India","institution_ids":["https://openalex.org/I1340206300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046290878","display_name":"Sheetal Kalyani","orcid":"https://orcid.org/0000-0002-1530-0140"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheetal Kalyani","raw_affiliation_strings":["Indian Institute of Technology Madras,Dept. of Electrical Engineering,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Dept. of Electrical Engineering,Chennai,India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039286471"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":3.4842,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90958168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9884999990463257,"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":0.9264000058174133,"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/waveform","display_name":"Waveform","score":0.700222373008728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804090738296509},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6367517709732056},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5859956741333008},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4147641062736511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31917113065719604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2719477415084839},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10018220543861389},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06360241770744324}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.700222373008728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804090738296509},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6367517709732056},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5859956741333008},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4147641062736511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31917113065719604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2719477415084839},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10018220543861389},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06360241770744324}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324890","display_name":"Ministry of Defense","ror":"https://ror.org/04wxm6g36"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2060702310","https://openalex.org/W2063146632","https://openalex.org/W2113110112","https://openalex.org/W2145040536","https://openalex.org/W2195832715","https://openalex.org/W2767030697","https://openalex.org/W2791159721","https://openalex.org/W4307134798","https://openalex.org/W4385223683","https://openalex.org/W6740041863"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2176409448","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2538520412","https://openalex.org/W2883092465"],"abstract_inverted_index":{"Designing":[0],"a":[1,17],"cognitive":[2],"radar":[3],"system":[4],"capable":[5],"of":[6,56,101],"adapting":[7],"its":[8,21],"parameters":[9,36],"is":[10],"challenging,":[11],"particularly":[12],"when":[13],"tasked":[14],"with":[15],"tracking":[16,108],"ballistic":[18,57,89],"missile":[19],"throughout":[20],"entire":[22],"flight.":[23],"In":[24],"this":[25],"work,":[26],"we":[27,91],"focus":[28],"on":[29,81,86],"proposing":[30],"adaptive":[31],"algorithms":[32,72,96],"that":[33,93],"select":[34],"waveform":[35],"in":[37,44],"an":[38],"online":[39],"fashion.":[40],"Our":[41],"novelty":[42],"lies":[43],"formulating":[45],"the":[46,54,75,98,111],"learning":[47,63],"problem":[48],"using":[49],"domain":[50],"knowledge":[51],"derived":[52],"from":[53],"characteristics":[55],"trajectories.":[58],"We":[59],"propose":[60],"three":[61],"reinforcement":[62],"algorithms:":[64],"bandwidth":[65,76],"scaling,":[66],"Q-learning,":[67],"and":[68,105],"Q-learning":[69],"lookahead.":[70],"These":[71],"dynamically":[73],"choose":[74],"for":[77],"each":[78],"transmission":[79],"based":[80],"received":[82],"feedback.":[83],"Through":[84],"experiments":[85],"synthetically":[87],"generated":[88],"trajectories,":[90],"demonstrate":[92],"our":[94],"proposed":[95],"achieve":[97],"dual":[99],"objectives":[100],"minimizing":[102],"range":[103],"error":[104],"maintaining":[106],"continuous":[107],"without":[109],"losing":[110],"target.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
