{"id":"https://openalex.org/W3113725732","doi":"https://doi.org/10.1109/wcsp49889.2020.9299769","title":"Source Detection of Sensor Array Based on Information Theory","display_name":"Source Detection of Sensor Array Based on Information Theory","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3113725732","doi":"https://doi.org/10.1109/wcsp49889.2020.9299769","mag":"3113725732"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp49889.2020.9299769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5101824079","display_name":"Deng Pan","orcid":"https://orcid.org/0009-0006-4961-5585"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Pan","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522259","display_name":"Dazhuan Xu","orcid":"https://orcid.org/0000-0003-2748-0182"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhuan Xu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060376368","display_name":"Chao Hu","orcid":"https://orcid.org/0009-0001-7214-1342"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Hu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15686147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2e","issue":null,"first_page":"489","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6913740634918213},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.6215837597846985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480948090553284},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5140982270240784},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.49442052841186523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.462191641330719},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4612506628036499},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.43118321895599365},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42780357599258423},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4256677031517029},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.415446937084198},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4121546447277069},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4013889729976654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35453519225120544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3350764811038971},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31191790103912354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10587391257286072},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09795686602592468}],"concepts":[{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6913740634918213},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.6215837597846985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480948090553284},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5140982270240784},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.49442052841186523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.462191641330719},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4612506628036499},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.43118321895599365},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42780357599258423},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4256677031517029},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.415446937084198},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4121546447277069},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4013889729976654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35453519225120544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3350764811038971},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31191790103912354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10587391257286072},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09795686602592468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp49889.2020.9299769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W595851582","https://openalex.org/W1551558821","https://openalex.org/W2032558547","https://openalex.org/W2093332157","https://openalex.org/W2136343519","https://openalex.org/W2144597985","https://openalex.org/W2201400134","https://openalex.org/W2887962893","https://openalex.org/W2965766717","https://openalex.org/W2982269148","https://openalex.org/W3015481538","https://openalex.org/W3015988583"],"related_works":["https://openalex.org/W2012656072","https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W2565587144","https://openalex.org/W2358318175","https://openalex.org/W4361216139","https://openalex.org/W2038514455","https://openalex.org/W2349411638","https://openalex.org/W4253187944"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,10,22,34,45,58,64,77,81,89,99,107,119,127,140,158],"application":[4],"of":[5,13,24,37,47,88,109,144,152,162],"information":[6,43,59,102,111],"theory":[7,60],"to":[8,76,118,125],"describe":[9],"existing":[11,104],"problem":[12],"signal":[14,41,93],"source":[15,49,54],"in":[16,21,51],"sensor":[17],"array":[18],"is":[19],"investigated":[20],"presence":[23],"complex":[25],"additive":[26],"white":[27],"Gaussian":[28],"noise":[29],"(CAWGN).":[30],"Firstly,":[31],"We":[32],"derive":[33,98],"theoretical":[35,65,141],"formula":[36],"constant":[38,90],"modulus":[39,91],"scattering":[40,92],"detection":[42,68,82,101,110,128,142],"under":[44],"condition":[46],"uncertain":[48],"position":[50],"a":[52],"single":[53],"scenario":[55],"based":[56,130],"on":[57,131],"approach":[61],"(ITA)":[62],"and":[63,70,84,97,112,133,160],"expressions":[66],"between":[67],"probability":[69,83,87],"false":[71,85],"alarm":[72,86],"probability.":[73],"Then,":[74],"according":[75,117],"Neyman-Pearson":[78],"(N-P)":[79],"criterion,":[80,154],"are":[94,122],"derived":[95],"separately":[96],"corresponding":[100],"through":[103],"methods.":[105],"Finally,":[106],"simulations":[108],"receiver":[113],"operating":[114],"characteristics":[115],"(ROC),":[116],"presented":[120],"expressions,":[121],"carried":[123],"out":[124],"compare":[126],"performance":[129,143],"ITA":[132,145],"N-P":[134,153],"criterion.":[135],"Our":[136],"analysis":[137],"indicates":[138],"that":[139,151],"can":[146],"be":[147],"obviously":[148],"better":[149],"than":[150],"which":[155],"also":[156],"verifies":[157],"reliability":[159],"effectiveness":[161],"ITA.":[163]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}