{"id":"https://openalex.org/W4313040628","doi":"https://doi.org/10.1109/lcomm.2022.3215721","title":"Deep Attention Aware Feature Learning for Data Association in Multiple Source Localization","display_name":"Deep Attention Aware Feature Learning for Data Association in Multiple Source Localization","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4313040628","doi":"https://doi.org/10.1109/lcomm.2022.3215721"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2022.3215721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3215721","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5001938465","display_name":"Muhammad Saad Ayub","orcid":"https://orcid.org/0000-0002-0452-8457"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Muhammad Saad Ayub","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065376714","display_name":"Jianfeng Chen","orcid":"https://orcid.org/0000-0002-7281-7138"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073572803","display_name":"Anam Zaman","orcid":"https://orcid.org/0000-0002-5012-8462"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anam Zaman","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027263923","display_name":"Jisheng Bai","orcid":"https://orcid.org/0000-0002-9803-8212"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jisheng Bai","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001938465"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.4573,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61602751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"27","issue":"1","first_page":"125","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10860","display_name":"Speech and Audio Processing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.7742735147476196},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.757277250289917},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.6288892030715942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6281504034996033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6223804354667664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5527775883674622},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4761509895324707},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.43424224853515625},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43336406350135803},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42805245518684387},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41949349641799927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3830258548259735},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1543249487876892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12908855080604553},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09234234690666199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742735147476196},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.757277250289917},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.6288892030715942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281504034996033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6223804354667664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5527775883674622},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4761509895324707},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.43424224853515625},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43336406350135803},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42805245518684387},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41949349641799927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3830258548259735},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1543249487876892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12908855080604553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09234234690666199},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2022.3215721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3215721","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1969977143","https://openalex.org/W2033732379","https://openalex.org/W2122304153","https://openalex.org/W2166494464","https://openalex.org/W2747805921","https://openalex.org/W2763254198","https://openalex.org/W2768802724","https://openalex.org/W3048945047","https://openalex.org/W3124696052","https://openalex.org/W3132830522","https://openalex.org/W3194973558","https://openalex.org/W3195006234","https://openalex.org/W3211291604","https://openalex.org/W4210334963","https://openalex.org/W4214842474","https://openalex.org/W4220985879"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0,73,111],"letter":[1],"addresses":[2],"the":[3,19,46,49,52,58,69,85,91,97,125,129,139],"problem":[4],"of":[5,21,68,84,96],"data":[6,35,120],"association":[7,121,145,149],"for":[8,34,66,107],"multiple":[9],"source":[10,71,109],"localization":[11,151],"in":[12,104,135],"a":[13,25],"distributed":[14],"sensor":[15],"network.":[16],"To":[17],"increase":[18],"efficiency":[20],"localization,":[22],"we":[23],"present":[24],"learning":[26],"methodology":[27,74],"to":[28,61,87,123,128],"generate":[29,62],"highly":[30,63],"distinctive":[31],"measurement":[32],"features":[33,65,113,141],"association.":[36],"We":[37],"propose":[38],"an":[39],"attention-based":[40],"graph":[41],"neural":[42],"network":[43],"that":[44,138],"exploits":[45],"relationship":[47],"among":[48],"phases":[50],"from":[51,77],"Short":[53],"Time":[54],"Fourier":[55],"transform":[56],"and":[57,81,89,93,150],"estimated":[59],"measurements":[60,86,126],"descriptive":[64],"each":[67,83,108],"detected":[70],"signals.":[72],"is":[75,133],"free":[76],"any":[78,119],"selective":[79],"threshold":[80],"processes":[82],"detect":[88],"enrich":[90],"similar":[92],"distinguishable":[94],"aspects":[95,100],"measurements.":[98],"These":[99],"are":[101],"then":[102,115],"aggregated":[103],"feature":[105],"representations":[106],"measurement.":[110],"generated":[112],"can":[114],"be":[116],"employed":[117,142],"with":[118,143],"method":[122],"segregate":[124],"belonging":[127],"same":[130],"source.":[131],"It":[132],"observed":[134],"experimental":[136],"evaluation":[137],"proposed":[140],"state-of-the-art":[144],"frameworks":[146],"yield":[147],"lower":[148],"errors.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}