{"id":"https://openalex.org/W4385691568","doi":"https://doi.org/10.1145/3605801.3605804","title":"Target detection for MIMO Radar based on reduced-dimension data without training data","display_name":"Target detection for MIMO Radar based on reduced-dimension data without training data","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4385691568","doi":"https://doi.org/10.1145/3605801.3605804"},"language":"en","primary_location":{"id":"doi:10.1145/3605801.3605804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","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/A5058733471","display_name":"P.G. Li","orcid":"https://orcid.org/0000-0003-0884-3996"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063674026","display_name":"Bang Huang","orcid":"https://orcid.org/0000-0003-2249-8690"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bang Huang","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049463786","display_name":"Wen-Qin Wang","orcid":"https://orcid.org/0000-0003-4466-9585"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Qin Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058733471"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04326456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9937000274658203,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7666882276535034},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.701249361038208},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.6812177300453186},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5806565284729004},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.566218376159668},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5617095828056335},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5615240931510925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5486519932746887},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5483608245849609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4928148090839386},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4853428900241852},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4840675890445709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4212076961994171},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3225703835487366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30597835779190063},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07575777173042297}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7666882276535034},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.701249361038208},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.6812177300453186},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5806565284729004},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.566218376159668},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5617095828056335},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5615240931510925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5486519932746887},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5483608245849609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4928148090839386},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4853428900241852},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4840675890445709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4212076961994171},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3225703835487366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30597835779190063},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07575777173042297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605801.3605804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","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":23,"referenced_works":["https://openalex.org/W65255600","https://openalex.org/W151604921","https://openalex.org/W1676520874","https://openalex.org/W1986921156","https://openalex.org/W2018744547","https://openalex.org/W2058683736","https://openalex.org/W2087509840","https://openalex.org/W2102649267","https://openalex.org/W2106999806","https://openalex.org/W2113444931","https://openalex.org/W2116965969","https://openalex.org/W2119719351","https://openalex.org/W2144158572","https://openalex.org/W2148744371","https://openalex.org/W2595788442","https://openalex.org/W2899588206","https://openalex.org/W2899663635","https://openalex.org/W2904560577","https://openalex.org/W3038620903","https://openalex.org/W3213650573","https://openalex.org/W4206180546","https://openalex.org/W4206725256","https://openalex.org/W4210498814"],"related_works":["https://openalex.org/W1983393909","https://openalex.org/W2030759397","https://openalex.org/W2762654808","https://openalex.org/W2150496749","https://openalex.org/W2097772921","https://openalex.org/W2170481245","https://openalex.org/W2080824149","https://openalex.org/W2354373235","https://openalex.org/W2042378457","https://openalex.org/W2058750705"],"abstract_inverted_index":{"This":[0],"letter":[1],"investigates":[2],"the":[3,22,29,68,83,87,93,106,123,137],"problem":[4],"of":[5,31,54,108,139],"detecting":[6],"a":[7,36,44,60,78],"point-like":[8],"target":[9],"embedded":[10],"in":[11,103],"Gaussian":[12],"environment":[13],"for":[14,21],"multiple":[15,17],"input":[16],"output":[18],"(MIMO)":[19],"radar,":[20],"case":[23,38],"where":[24,39],"there":[25],"are":[26],"not":[27],"assumed":[28],"presence":[30],"training":[32],"data.":[33,56,71],"Specifically,":[34],"consider":[35],"specifical":[37],"MIMO":[40],"radar":[41],"dwell":[42],"is":[43],"short":[45],"duration":[46],"so":[47],"that":[48,120],"we":[49],"can\u2019t":[50,64],"collect":[51],"enough":[52],"snapshots":[53],"test":[55,112],"In":[57],"this":[58,75,117],"respect,":[59],"positive":[61],"covariance":[62,131],"matrix":[63],"be":[65],"estimated":[66],"by":[67],"existed":[69],"receive":[70,88],"To":[72],"end":[73],"it,":[74],"paper":[76,118],"proposes":[77],"reduced-dimension":[79],"approach":[80],"via":[81],"pre-multiplying":[82],"recorded":[84],"data":[85,95],"with":[86,105],"steering":[89],"vector.":[90],"Based":[91],"on":[92],"transformed":[94],"model,":[96],"one":[97],"new":[98],"detector":[99],"has":[100],"been":[101],"designed":[102],"accordance":[104],"criterion":[107],"generalized":[109],"likelihood":[110],"ratio":[111],"(GLRT),":[113],"namely":[114],"RD-GLRT.":[115],"Further,":[116],"proves":[119],"RD-GLRT":[121],"exhibits":[122],"constant":[124],"false":[125],"alarm":[126],"rate":[127],"(CFAR)":[128],"property":[129],"against":[130],"matrix.":[132],"Numerical":[133],"simulation":[134],"results":[135],"validate":[136],"effectiveness":[138],"proposed":[140],"theory.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}