{"id":"https://openalex.org/W4404031510","doi":"https://doi.org/10.1109/icccnt61001.2024.10725507","title":"Real-Time Adaptive STFT-CNN Fusion for EW Passive Guidance","display_name":"Real-Time Adaptive STFT-CNN Fusion for EW Passive Guidance","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031510","doi":"https://doi.org/10.1109/icccnt61001.2024.10725507"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725507","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5054577511","display_name":"Somnath Mondal","orcid":"https://orcid.org/0000-0001-8125-2557"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Somnath Mondal","raw_affiliation_strings":["IIT,Bombay,India"],"affiliations":[{"raw_affiliation_string":"IIT,Bombay,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011298235","display_name":"Harminder Singh Johar","orcid":"https://orcid.org/0000-0001-6716-1843"},"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":"Harminder Singh Johar","raw_affiliation_strings":["RCI, DRDO,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"RCI, DRDO,Hyderabad,India","institution_ids":["https://openalex.org/I1340206300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087479923","display_name":"S. Srinivasa Rao","orcid":"https://orcid.org/0000-0002-6183-7088"},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Srinivasa Rao","raw_affiliation_strings":["NIT,Warangal,India"],"affiliations":[{"raw_affiliation_string":"NIT,Warangal,India","institution_ids":["https://openalex.org/I121750182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054577511"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17501386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9794999957084656,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9794999957084656,"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"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9377999901771545,"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":0.6887097358703613},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5718343257904053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5084587335586548},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.46689164638519287},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.4545024335384369},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4256322979927063},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3278942108154297},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1692846119403839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10218155384063721},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.06825372576713562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887097358703613},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5718343257904053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084587335586548},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.46689164638519287},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.4545024335384369},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4256322979927063},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3278942108154297},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1692846119403839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10218155384063721},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.06825372576713562},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725507","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1923002919","https://openalex.org/W2014307680","https://openalex.org/W2091708048","https://openalex.org/W2100495367","https://openalex.org/W2104266187","https://openalex.org/W2117130368","https://openalex.org/W2219727625","https://openalex.org/W2286256158","https://openalex.org/W2806076314","https://openalex.org/W2806476189","https://openalex.org/W2808739938","https://openalex.org/W2903029684","https://openalex.org/W4213132815","https://openalex.org/W4238744307","https://openalex.org/W4250955649","https://openalex.org/W4385986680","https://openalex.org/W6632100814","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2008311543","https://openalex.org/W2802845977","https://openalex.org/W2078793534","https://openalex.org/W2318109418","https://openalex.org/W2120847449","https://openalex.org/W2584505851","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Passive":[0],"guidance":[1],"systems":[2],"in":[3,42,54],"Electronic":[4],"Warfare":[5],"(EW)":[6],"encounter":[7],"challenges":[8,36],"stemming":[9],"from":[10],"modern":[11],"radar":[12,55],"techniques":[13],"like":[14],"Pulse-on-Pulse":[15],"(POP)":[16],"signals":[17,24],"and":[18,83,98,134,148],"environmental":[19],"interference.":[20],"Detecting":[21],"intra-pulse":[22],"modulated":[23],"necessitates":[25],"real-time":[26],"Short-Time":[27],"Fourier":[28],"Transform":[29],"(STFT),":[30],"particularly":[31],"crucial":[32],"due":[33],"to":[34,45,154],"maneuvering":[35],"when":[37],"the":[38,46,50,107],"EW":[39],"system":[40],"is":[41],"close":[43],"proximity":[44],"radar.":[47],"To":[48],"address":[49],"computational":[51],"latency":[52],"inherent":[53],"parameter":[56],"extraction,":[57],"our":[58,138],"approach":[59],"integrates":[60],"Machine":[61],"Learning":[62],"(ML)":[63],"based":[64],"signal":[65,79],"recovery":[66],"with":[67,101],"a":[68,87,143],"Convolutional":[69],"Neural":[70],"Networks":[71],"(CNN)":[72],"empowered":[73],"STFT":[74,81,97,139],"solution.":[75],"This":[76,110],"framework":[77],"encompasses":[78],"recovery,":[80],"processing,":[82],"simultaneous":[84],"input":[85],"into":[86,106],"CNN":[88,130],"model":[89],"for":[90,116],"predictive":[91],"analysis.":[92],"Initially,":[93],"test":[94],"data":[95,104],"undergoes":[96],"prediction":[99],"logic,":[100],"discrepancies":[102],"prompting":[103],"inclusion":[105],"training":[108],"dataset.":[109],"adaptive":[111],"strategy":[112],"leverages":[113],"processing":[114],"time":[115],"analysis,":[117],"augmenting":[118],"fault":[119],"tolerance":[120],"without":[121],"additional":[122],"hardware.":[123],"Our":[124],"proposed":[125],"design":[126],"surpasses":[127],"other":[128,155],"software-based":[129],"implementations":[131],"by":[132],"2X":[133,144],"19.27X,":[135],"respectively.":[136],"Furthermore,":[137],"hardware":[140],"implementation":[141],"achieves":[142],"higher":[145],"clock":[146],"rate":[147],"5.33X":[149],"lower":[150],"DSP":[151],"utilization":[152],"compared":[153],"FPGA":[156],"implementations.":[157]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}