{"id":"https://openalex.org/W2158754480","doi":"https://doi.org/10.1109/icassp.2005.1416375","title":"A New Maximum a Posteriori CFAR Based on Stability in Sea Clutter State-Space Model","display_name":"A New Maximum a Posteriori CFAR Based on Stability in Sea Clutter State-Space Model","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2158754480","doi":"https://doi.org/10.1109/icassp.2005.1416375","mag":"2158754480"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022633038","display_name":"Mohsen Amiri","orcid":"https://orcid.org/0000-0003-4704-8848"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M.V. Amiri","raw_affiliation_strings":["Department of Electrical Engineering, Amirkabir University of Technology\uc2a0, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Amirkabir University of Technology\uc2a0, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060423856","display_name":"Hamidreza Amindavar","orcid":"https://orcid.org/0000-0002-0954-0674"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"H. Amindavar","raw_affiliation_strings":["Department of Electrical Engineering, Amirkabir University of Technology\uc2a0, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Amirkabir University of Technology\uc2a0, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"601","last_page":"604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9901999831199646,"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/clutter","display_name":"Clutter","score":0.9231301546096802},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.8643666505813599},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5446746349334717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49560391902923584},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4843912720680237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46002310514450073},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.45357170701026917},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4143155813217163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3635246455669403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3518381118774414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3192088305950165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17649132013320923},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.15291732549667358},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.14098697900772095},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08192586898803711}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9231301546096802},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.8643666505813599},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5446746349334717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49560391902923584},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4843912720680237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46002310514450073},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.45357170701026917},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4143155813217163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3635246455669403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3518381118774414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3192088305950165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17649132013320923},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.15291732549667358},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14098697900772095},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08192586898803711},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1416375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1540920731","https://openalex.org/W2016167794","https://openalex.org/W2064795197","https://openalex.org/W2067940688","https://openalex.org/W2102037022","https://openalex.org/W2131378017"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008"],"abstract_inverted_index":{"A":[0],"new":[1,139,150],"constant":[2],"false":[3],"alarm":[4],"rate":[5],"(CFAR)":[6],"for":[7,39,48,60,85,108,127,142],"the":[8,30,43,57,80,92,109,119,130,143,149,162],"marine":[9],"environment":[10],"based":[11,25],"on":[12,26],"a":[13,33,35,50,67,105,124,134,138],"stability":[14],"in":[15,29,42,79,118,129],"sea":[16,63,86,110],"clutter":[17,40,64,71,87,111,144],"state-space":[18,106,114,131],"model":[19,55,59,84,100,107,115,132],"is":[20,46,56,75,88,101,116,158],"proposed.":[21],"In":[22],"this":[23],"CFAR,":[24,151],"observation":[27],"samples":[28],"reference":[31],"window,":[32],"maximum":[34],"posteriori":[36],"(MAP)":[37],"estimation":[38],"power":[41],"test":[44],"cell":[45],"utilized":[47],"setting":[49],"threshold.":[51],"The":[52,82,146],"compound":[53,83],"K":[54],"best":[58],"high":[61],"resolution":[62],"that":[65],"includes":[66],"phenomenological":[68],"insight":[69],"into":[70],"formation,":[72],"and":[73],"it":[74],"most":[76],"frequently":[77],"cited":[78],"literature.":[81],"considered":[89],"to":[90,103,161],"be":[91],"multiplication":[93],"of":[94,148],"two":[95],"independent":[96],"processes.":[97],"This":[98,113],"multiplicative":[99],"linearized":[102],"form":[104],"evolution.":[112],"established":[117],"logarithmic":[120],"domain.":[121],"By":[122],"introducing":[123],"stable":[125],"distribution":[126],"innovations":[128],"as":[133],"priori,":[135],"we":[136],"derive":[137],"MAP":[140,156],"estimator":[141],"power.":[145],"performance":[147],"named":[152],"SLMAP-CFAR":[153],"(stable":[154],"linear":[155],"CFAR),":[157],"then":[159],"compared":[160],"existing":[163],"LMAP.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}