{"id":"https://openalex.org/W4400408199","doi":"https://doi.org/10.3390/rs16132508","title":"An Adaptive Radar Target Detection Method Based on Alternate Estimation in Power Heterogeneous Clutter","display_name":"An Adaptive Radar Target Detection Method Based on Alternate Estimation in Power Heterogeneous Clutter","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400408199","doi":"https://doi.org/10.3390/rs16132508"},"language":"en","primary_location":{"id":"doi:10.3390/rs16132508","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132508","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2508/pdf?version=1720766507","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/13/2508/pdf?version=1720766507","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104320057","display_name":"Daipeng Xiao","orcid":"https://orcid.org/0009-0002-6431-6082"},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daipeng Xiao","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan 430019, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059682113","display_name":"Weijian Liu","orcid":"https://orcid.org/0000-0002-0330-8073"},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijian Liu","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan 430019, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334189","display_name":"Hui Chen","orcid":"https://orcid.org/0000-0002-7824-1280"},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Chen","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan 430019, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028842099","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-4342-3225"},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan 430019, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046472013","display_name":"Binbin Li","orcid":"https://orcid.org/0000-0001-6963-5504"},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Li","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan 430019, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059682113"],"corresponding_institution_ids":["https://openalex.org/I4210134970"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.2684,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88245861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"13","first_page":"2508","last_page":"2508"},"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":0.9944999814033508,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9865999817848206,"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/clutter","display_name":"Clutter","score":0.8596652746200562},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7170834541320801},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6943494081497192},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.6398347020149231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682716965675354},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.5669330954551697},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5252430438995361},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.49952220916748047},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.4875306785106659},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4724434018135071},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.458710253238678},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.438416987657547},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43670156598091125},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.31298303604125977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30781668424606323},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08090949058532715}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8596652746200562},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7170834541320801},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6943494081497192},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.6398347020149231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682716965675354},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.5669330954551697},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5252430438995361},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.49952220916748047},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.4875306785106659},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4724434018135071},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.458710253238678},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.438416987657547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43670156598091125},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.31298303604125977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30781668424606323},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08090949058532715}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16132508","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132508","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2508/pdf?version=1720766507","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd72e7bac39f45819290eec90c3b8e8e","is_oa":true,"landing_page_url":"https://doaj.org/article/bd72e7bac39f45819290eec90c3b8e8e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 13, p 2508 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16132508","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132508","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2508/pdf?version=1720766507","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2557766157","display_name":null,"funder_award_id":"62071482","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400408199.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1517343261","https://openalex.org/W1984614739","https://openalex.org/W1986921156","https://openalex.org/W1990300168","https://openalex.org/W1993351044","https://openalex.org/W2031532719","https://openalex.org/W2054977288","https://openalex.org/W2056902548","https://openalex.org/W2081111329","https://openalex.org/W2096972831","https://openalex.org/W2133479770","https://openalex.org/W2142517930","https://openalex.org/W2144175433","https://openalex.org/W2147434006","https://openalex.org/W2261039809","https://openalex.org/W2342863569","https://openalex.org/W2474313031","https://openalex.org/W2553741353","https://openalex.org/W2587546714","https://openalex.org/W2751453419","https://openalex.org/W2753951088","https://openalex.org/W2762599734","https://openalex.org/W2883891480","https://openalex.org/W2963555868","https://openalex.org/W2969558369","https://openalex.org/W2996960563","https://openalex.org/W3126357218","https://openalex.org/W3159706444","https://openalex.org/W3210857239","https://openalex.org/W3216456751","https://openalex.org/W4316661040","https://openalex.org/W4364302104","https://openalex.org/W4382364481","https://openalex.org/W4386536146","https://openalex.org/W4387717752","https://openalex.org/W4388469993","https://openalex.org/W4399731691","https://openalex.org/W6858581981"],"related_works":["https://openalex.org/W2159195662","https://openalex.org/W2167992111","https://openalex.org/W2069215735","https://openalex.org/W2093700538","https://openalex.org/W2354373235","https://openalex.org/W3003095441","https://openalex.org/W2374441430","https://openalex.org/W1972093502","https://openalex.org/W2971420665","https://openalex.org/W2981753778"],"abstract_inverted_index":{"Multichannel":[0],"radars":[1],"generally":[2],"need":[3],"to":[4,12,23,45],"utilize":[5],"a":[6],"certain":[7],"amount":[8],"of":[9,17,49,129],"training":[10,35],"samples":[11,36],"estimate":[13],"the":[14,34,43,50,59,80,93,118,122,126,137,141,145,149,153,157],"covariance":[15,62],"matrix":[16,63],"clutter":[18,61,83],"for":[19],"target":[20],"detection.":[21],"Due":[22],"factors":[24],"such":[25],"as":[26],"severe":[27],"terrain":[28],"fluctuations":[29],"and":[30,106,113],"complex":[31],"electromagnetic":[32],"environments,":[33,84],"usually":[37],"have":[38,58,68],"different":[39,66,69],"statistical":[40],"characteristics":[41],"from":[42],"data":[44,57,67,115],"be":[46],"detected.":[47],"One":[48],"most":[51,158],"common":[52],"scenarios":[53],"is":[54],"that":[55,117],"all":[56],"same":[60],"structure,":[64],"while":[65,148],"power":[70,73,81],"mismatches,":[71],"called":[72],"heterogeneous":[74,82],"characteristics.":[75],"For":[76],"detection":[77,130,160],"problems":[78],"in":[79],"we":[85],"propose":[86],"detectors":[87],"based":[88,120,139,151],"on":[89,121,140,152],"alternate":[90],"estimation,":[91],"using":[92],"generalized":[94],"likelihood":[95],"ratio":[96],"test":[97],"(GLRT)":[98],"criterion,":[99,101,103,105],"Rao":[100,123],"Wald":[102],"Gradient":[104],"Durbin":[107,154],"criterion.":[108],"Monte":[109],"Carlo":[110],"simulation":[111],"experiments":[112],"real":[114],"indicate":[116],"detector":[119,138,150],"criterion":[124,143,155],"has":[125,144,156],"highest":[127],"probability":[128],"(PD).":[131],"Furthermore,":[132],"when":[133],"signal":[134],"mismatch":[135],"occurs,":[136],"GLRT":[142],"best":[146],"selectivity,":[147],"robust":[159],"performance.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
