{"id":"https://openalex.org/W3000089307","doi":"https://doi.org/10.1109/sensors43011.2019.8956918","title":"Near-Field Sub-Nyquist Source Localization via Uniform Linear Array","display_name":"Near-Field Sub-Nyquist Source Localization via Uniform Linear Array","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3000089307","doi":"https://doi.org/10.1109/sensors43011.2019.8956918","mag":"3000089307"},"language":"en","primary_location":{"id":"doi:10.1109/sensors43011.2019.8956918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors43011.2019.8956918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE SENSORS","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/A5043688820","display_name":"Sanjay Manjunath","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sanjay Manjunath","raw_affiliation_strings":["IIT,Department of Electrical Engineering,Hyderabad","Department of Electrical Engineering, IIT, Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIT,Department of Electrical Engineering,Hyderabad","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT, Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103125973","display_name":"A Anil Kumar","orcid":"https://orcid.org/0000-0002-0661-5976"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A Anil Kumar","raw_affiliation_strings":["TCS Research and Innovation,Bangalore,India","TCS Research and Innovation, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation,Bangalore,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Research and Innovation, Bangalore, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035666448","display_name":"M Girish Chandra","orcid":"https://orcid.org/0000-0002-1479-0504"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M Girish Chandra","raw_affiliation_strings":["TCS Research and Innovation,Bangalore,India","TCS Research and Innovation, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation,Bangalore,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Research and Innovation, Bangalore, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004819329","display_name":"Tapas Chakravarty","orcid":"https://orcid.org/0000-0001-5131-8850"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tapas Chakravarty","raw_affiliation_strings":["TCS Research and Innovation,Bangalore,India","TCS Research and Innovation, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation,Bangalore,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Research and Innovation, Bangalore, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043688820"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.3317,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58536885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.7962777614593506},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.7165671586990356},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.6794724464416504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.653661847114563},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5663583874702454},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49766185879707336},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46406206488609314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43291354179382324},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4276326894760132},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.42581671476364136},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40325427055358887},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3263491988182068},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32275670766830444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.298615038394928},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1911740005016327},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12147983908653259},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09930655360221863},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07627853751182556}],"concepts":[{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.7962777614593506},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.7165671586990356},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.6794724464416504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.653661847114563},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5663583874702454},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49766185879707336},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46406206488609314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43291354179382324},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4276326894760132},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.42581671476364136},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40325427055358887},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3263491988182068},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32275670766830444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.298615038394928},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1911740005016327},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12147983908653259},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09930655360221863},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07627853751182556},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"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/sensors43011.2019.8956918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors43011.2019.8956918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE SENSORS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1498541928","https://openalex.org/W1972671415","https://openalex.org/W1974975032","https://openalex.org/W1984872964","https://openalex.org/W1986724840","https://openalex.org/W1997483434","https://openalex.org/W2043625269","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2139423300","https://openalex.org/W2141426461","https://openalex.org/W2168078104","https://openalex.org/W2522694309","https://openalex.org/W2746433858","https://openalex.org/W2759469946","https://openalex.org/W2964011032","https://openalex.org/W3101339175","https://openalex.org/W3104922853","https://openalex.org/W3150411600"],"related_works":["https://openalex.org/W2368043784","https://openalex.org/W1500996803","https://openalex.org/W2058893726","https://openalex.org/W2801332561","https://openalex.org/W3215214094","https://openalex.org/W1488455774","https://openalex.org/W1570358496","https://openalex.org/W2124861257","https://openalex.org/W3015557210","https://openalex.org/W3128645236"],"abstract_inverted_index":{"The":[0,73],"important":[1],"problem":[2,21],"of":[3,6,30,64,94,101],"source":[4],"localization":[5],"multi-band":[7],"signal":[8],"sampled":[9],"at":[10],"sub-Nyquist":[11,52],"rates":[12],"is":[13,71],"considered":[14],"in":[15,34,107],"this":[16,20],"paper.":[17],"We":[18],"address":[19],"by":[22],"considering":[23],"uniform":[24],"linear":[25],"array":[26],"under":[27],"the":[28,35,38,61,76,80,85,90,108],"condition":[29],"sources":[31],"being":[32],"present":[33],"near-field":[36],"(unlike":[37],"existing":[39,49],"approaches":[40],"which":[41],"focus":[42],"on":[43],"far-field":[44],"scenarios).":[45],"Starting":[46],"with":[47,112],"an":[48],"delay":[50],"based":[51],"receiver":[53],"architecture,":[54],"a":[55,104,113],"new":[56],"method":[57],"to":[58,78,118],"unambiguously":[59],"estimate":[60],"triple-":[62],"direction":[63],"arrival":[65],"(DOA),":[66],"range":[67],"and":[68,84,103],"carrier":[69,86],"frequency":[70],"proposed.":[72],"approach":[74],"has":[75],"capability":[77],"provide":[79],"appropriately":[81],"paired":[82],"DOA":[83],"frequency,":[87],"thus":[88],"overcoming":[89],"additional":[91],"difficult":[92],"step":[93],"pairing.":[95],"Simulation":[96],"results":[97],"show":[98],"unambiguous":[99],"estimation":[100],"parameters":[102],"significant":[105],"reduction":[106],"overall":[109],"sampling":[110],"rate":[111],"minimal":[114],"performance":[115],"loss":[116],"compared":[117],"classical":[119],"Nyquist":[120],"sampling.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}