{"id":"https://openalex.org/W4414539516","doi":"https://doi.org/10.1109/icc52391.2025.11162048","title":"Efficient Multi-Source Localization in Near-Field Using only Angular Domain MUSIC","display_name":"Efficient Multi-Source Localization in Near-Field Using only Angular Domain MUSIC","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539516","doi":"https://doi.org/10.1109/icc52391.2025.11162048"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11162048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11162048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5115999864","display_name":"Mehdi Haghshenas","orcid":null},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mehdi Haghshenas","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden,85170"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden,85170","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015129195","display_name":"Aamir Mahmood","orcid":"https://orcid.org/0000-0003-3717-7793"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Aamir Mahmood","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden,85170"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden,85170","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004012289","display_name":"Mikael Gidlund","orcid":"https://orcid.org/0000-0003-0873-7827"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Gidlund","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden,85170"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden,85170","institution_ids":["https://openalex.org/I56475706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56475706"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5524","last_page":"5529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5953999757766724},{"id":"https://openalex.org/keywords/multiple-signal-classification","display_name":"Multiple signal classification","score":0.5752000212669373},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5566999912261963},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.51910001039505},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.49630001187324524},{"id":"https://openalex.org/keywords/direction-finding","display_name":"Direction finding","score":0.42590001225471497},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42089998722076416},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4077000021934509},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.37439998984336853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353999972343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.599399983882904},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5953999757766724},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.5752000212669373},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C2780382809","wikidata":"https://www.wikidata.org/wiki/Q1367488","display_name":"Direction finding","level":3,"score":0.42590001225471497},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.37439998984336853},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C13545353","wikidata":"https://www.wikidata.org/wiki/Q4763363","display_name":"Angle of arrival","level":3,"score":0.3301999866962433},{"id":"https://openalex.org/C133848361","wikidata":"https://www.wikidata.org/wiki/Q4764027","display_name":"Angular resolution (graph drawing)","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C33098168","wikidata":"https://www.wikidata.org/wiki/Q108537107","display_name":"Rotational invariance","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11162048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11162048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307330","display_name":"Knowledge Foundation","ror":"https://ror.org/00v64cg28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1974631864","https://openalex.org/W1984872964","https://openalex.org/W1997483434","https://openalex.org/W2019492706","https://openalex.org/W2066218102","https://openalex.org/W2101658087","https://openalex.org/W2109958193","https://openalex.org/W2113638573","https://openalex.org/W2115485558","https://openalex.org/W2126700042","https://openalex.org/W2128131274","https://openalex.org/W2128917116","https://openalex.org/W2162654459","https://openalex.org/W2554305184","https://openalex.org/W2803130179","https://openalex.org/W4389542425","https://openalex.org/W4392543713","https://openalex.org/W4408324549"],"related_works":[],"abstract_inverted_index":{"The":[0,46,149],"localization":[1],"of":[2,69,89,103,121,166,180,199],"multiple":[3],"signal":[4,21],"sources":[5,38,56,176],"using":[6],"sensor":[7,33],"arrays":[8,34],"has":[9,91],"been":[10,19,92],"a":[11,59,86,129,144],"long-standing":[12],"research":[13],"challenge.":[14],"While":[15],"numerous":[16],"solutions":[17],"have":[18,28],"developed,":[20],"space":[22],"methods":[23],"like":[24],"MUSIC":[25,48,90,122,195],"and":[26,66,74,98,106],"ESPRIT":[27],"gained":[29],"widespread":[30],"popularity.":[31],"As":[32],"grow":[35],"in":[36,42,177,197,219],"size,":[37],"are":[39,170],"frequently":[40],"located":[41],"the":[43,64,67,96,119,137,141,153,164,175,178,181,193],"near-field":[44,179],"region.":[45],"standard":[47,209],"algorithm":[49,196],"can":[50],"be":[51],"adapted":[52],"to":[53,94,173,208],"locate":[54],"these":[55,104],"by":[57],"performing":[58],"3D":[60],"search":[61,146],"over":[62,147],"both":[63],"distance":[65],"angles":[68,165,169],"arrival":[70],"(AoA),":[71],"including":[72],"azimuth":[73],"elevation,":[75],"though":[76],"this":[77,111,126,188],"comes":[78],"with":[79,159],"significant":[80],"computational":[81,108,215],"complexity.":[82],"To":[83,117],"address":[84],"this,":[85],"modified":[87],"version":[88],"developed":[93],"decouple":[95],"AoA":[97],"distance,":[99],"enabling":[100],"sequential":[101],"estimation":[102],"parameters":[105],"reducing":[107,214],"demands.":[109],"However,":[110],"approach":[112,189],"suffers":[113],"from":[114],"reduced":[115],"accuracy.":[116],"maintain":[118],"accuracy":[120,206],"while":[123,212],"minimizing":[124],"complexity,":[125],"paper":[127],"proposes":[128],"novel":[130],"method":[131,151],"that":[132,187],"exploits":[133],"angular":[134],"variation":[135],"across":[136],"array":[138],"aperture,":[139],"eliminating":[140],"need":[142],"for":[143],"grid":[145],"distance.":[148],"proposed":[150],"divides":[152],"large":[154,182],"aperture":[155],"into":[156],"smaller":[157],"sections,":[158],"each":[160],"focusing":[161],"on":[162],"estimating":[163],"arrival.":[167],"These":[168],"then":[171],"triangulated":[172],"localize":[174],"aperture.":[183],"Numerical":[184],"simulations":[185],"show":[186],"not":[190],"only":[191],"surpasses":[192],"Modified":[194],"terms":[198],"mean":[200],"absolute":[201],"error":[202],"but":[203],"also":[204],"achieves":[205],"comparable":[207],"MUSIC,":[210],"all":[211],"greatly":[213],"complexity-":[216],"370":[217],"times":[218],"our":[220],"simulation":[221],"scenario.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}