{"id":"https://openalex.org/W4392902765","doi":"https://doi.org/10.1109/icassp48485.2024.10446183","title":"On Unique Localization of Uncorrelated Constant-Modulus Sources Using Sparse Linear Arrays","display_name":"On Unique Localization of Uncorrelated Constant-Modulus Sources Using Sparse Linear Arrays","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902765","doi":"https://doi.org/10.1109/icassp48485.2024.10446183"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446183","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5101756347","display_name":"Wenlong Wang","orcid":"https://orcid.org/0009-0001-5949-8806"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenlong Wang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Mathematics & Statistics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Mathematics & Statistics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082539585","display_name":"Zai Yang","orcid":"https://orcid.org/0000-0002-9502-5176"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zai Yang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Mathematics & Statistics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Mathematics & Statistics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101446831","display_name":"Xunmeng Wu","orcid":"https://orcid.org/0000-0003-3742-925X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunmeng Wu","raw_affiliation_strings":["Xi’an Jiaotong University,School of Mathematics & Statistics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Mathematics & Statistics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101756347"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02870434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"78","issue":null,"first_page":"13516","last_page":"13520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.8571077585220337},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.8120061159133911},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6031292676925659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4755285084247589},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47358113527297974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45482707023620605},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40646618604660034},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40424054861068726},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27146875858306885},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.06058487296104431}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8571077585220337},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.8120061159133911},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6031292676925659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4755285084247589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47358113527297974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45482707023620605},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40646618604660034},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40424054861068726},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27146875858306885},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.06058487296104431},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446183","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3251647892","display_name":null,"funder_award_id":"1237146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3266017007","display_name":null,"funder_award_id":"61977053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G330146058","display_name":null,"funder_award_id":"12371464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W199128696","https://openalex.org/W210359992","https://openalex.org/W561123807","https://openalex.org/W1964521756","https://openalex.org/W2097987904","https://openalex.org/W2098174516","https://openalex.org/W2103712210","https://openalex.org/W2113638573","https://openalex.org/W2143330906","https://openalex.org/W2148846143","https://openalex.org/W2149551443","https://openalex.org/W2158814901","https://openalex.org/W2161666352","https://openalex.org/W2346852820","https://openalex.org/W2528695050","https://openalex.org/W2769776241","https://openalex.org/W2972820227","https://openalex.org/W4211030719","https://openalex.org/W4292972246","https://openalex.org/W4379116751","https://openalex.org/W4386065303"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2360779366","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812"],"abstract_inverted_index":{"In":[0,50],"direction-of-arrival":[1],"(DOA)":[2],"estimation,":[3],"both":[4,85],"stochastic":[5,22],"and":[6,61,87],"deterministic":[7,31],"priors":[8,60,89],"of":[9,27,39,46,57,69,83,95],"source":[10],"signals":[11],"have":[12],"been":[13],"used":[14],"to":[15,25],"localize":[16],"more":[17],"sources":[18,72],"than":[19],"sensors.":[20],"The":[21],"prior":[23],"refers":[24],"uncorrelateness":[26],"sources,":[28],"while":[29],"the":[30,34,47,55,58,93],"one":[32,45],"includes":[33],"constant":[35],"modulus":[36],"(CM)":[37],"property":[38],"sources.":[40,97],"Existing":[41],"studies":[42],"typically":[43],"exploit":[44],"two":[48,59],"priors.":[49],"this":[51],"paper,":[52],"we":[53],"consider":[54],"combination":[56],"present":[62],"a":[63,74],"necessary":[64],"condition":[65],"for":[66],"unique":[67],"localization":[68],"uncorrelated":[70,86],"CM":[71,88],"using":[73],"sparse":[75],"linear":[76],"array.":[77],"Our":[78],"result":[79],"indicates":[80],"limited":[81],"benefits":[82],"exploiting":[84],"in":[90],"further":[91],"improving":[92],"number":[94],"locatable":[96]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}