{"id":"https://openalex.org/W2519024048","doi":"https://doi.org/10.1109/sam.2016.7569624","title":"On the performance of a CFAR matched filter in the presence of signal mismatch","display_name":"On the performance of a CFAR matched filter in the presence of signal mismatch","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2519024048","doi":"https://doi.org/10.1109/sam.2016.7569624","mag":"2519024048"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2016.7569624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5100361920","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-7193-0622"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411968","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0003-4046-163X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100361920"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04647289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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":1.0,"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":0.9983000159263611,"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":0.9965000152587891,"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/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.8547830581665039},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.6345043778419495},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5729694366455078},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5621236562728882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5374358892440796},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5313122272491455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.523237407207489},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5119927525520325},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.48914864659309387},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4869552552700043},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.48584386706352234},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.48567378520965576},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.47507017850875854},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4744490385055542},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4736779034137726},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.44953423738479614},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.44178566336631775},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.347627729177475},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33993247151374817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3377155065536499},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2702253460884094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25141340494155884},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21402457356452942},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2094976305961609},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19319462776184082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09449613094329834},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.08389106392860413}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.8547830581665039},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.6345043778419495},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5729694366455078},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5621236562728882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374358892440796},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5313122272491455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.523237407207489},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5119927525520325},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.48914864659309387},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4869552552700043},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.48584386706352234},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.48567378520965576},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.47507017850875854},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4744490385055542},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4736779034137726},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.44953423738479614},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.44178566336631775},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.347627729177475},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33993247151374817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3377155065536499},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2702253460884094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25141340494155884},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21402457356452942},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2094976305961609},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19319462776184082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09449613094329834},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08389106392860413},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2016.7569624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/W1578953027","https://openalex.org/W1991567646","https://openalex.org/W2012322974","https://openalex.org/W2017904472","https://openalex.org/W2034839437","https://openalex.org/W2041929039","https://openalex.org/W2065607385","https://openalex.org/W2078249088","https://openalex.org/W2099014959","https://openalex.org/W2103148898","https://openalex.org/W2107300868","https://openalex.org/W2122274174","https://openalex.org/W2134001300","https://openalex.org/W2144158572","https://openalex.org/W2146302771","https://openalex.org/W2156626848","https://openalex.org/W2157005274","https://openalex.org/W2241013740","https://openalex.org/W2544603002"],"related_works":["https://openalex.org/W2971420665","https://openalex.org/W2981753778","https://openalex.org/W4297999093","https://openalex.org/W2907950753","https://openalex.org/W2887658601","https://openalex.org/W2140552290","https://openalex.org/W1908865975","https://openalex.org/W4287331864","https://openalex.org/W3126357218","https://openalex.org/W2035969571"],"abstract_inverted_index":{"We":[0],"analytically":[1],"evaluate":[2],"the":[3,9,14,38,42,47,51,60],"impact":[4],"of":[5,17,41],"a":[6,18],"mismatch":[7],"in":[8,26,46],"signal":[10,53],"steering":[11,54],"vector":[12,55],"on":[13],"detection":[15,39],"performance":[16],"constant":[19],"false":[20],"alarm":[21],"rate":[22],"matched":[23],"filter":[24],"(CFAR-MF)":[25],"white":[27],"Gaussian":[28],"noise":[29,32],"with":[30,59],"unknown":[31],"power.":[33],"An":[34],"infinite-sum":[35],"expression":[36],"for":[37],"probability":[40],"CFAR-MF":[43],"is":[44,56,66],"derived":[45],"mismatched":[48],"case":[49],"where":[50],"nominal":[52],"not":[57],"aligned":[58],"actual":[61],"one.":[62],"This":[63],"theoretical":[64],"result":[65],"verified":[67],"using":[68],"Monte":[69],"Carlo":[70],"simulations.":[71]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}