{"id":"https://openalex.org/W2520161679","doi":"https://doi.org/10.1109/sam.2016.7569656","title":"Simplified performance comparison metric based on asymptotic threshold ranking for MIMO radar estimation","display_name":"Simplified performance comparison metric based on asymptotic threshold ranking for MIMO radar estimation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2520161679","doi":"https://doi.org/10.1109/sam.2016.7569656","mag":"2520161679"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2016.7569656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569656","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/A5020770172","display_name":"Qian He","orcid":"https://orcid.org/0000-0002-0875-7142"},"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":"Qian He","raw_affiliation_strings":["EE Department, Univ. of Electron. Sci. and Tech. of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Department, Univ. of Electron. Sci. and Tech. of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112214566","display_name":"Xiongwei Wu","orcid":null},"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":"Xiongwei Wu","raw_affiliation_strings":["EE Department, Univ. of Electron. Sci. and Tech. of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Department, Univ. of Electron. Sci. and Tech. of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042577942","display_name":"Rick S. Blum","orcid":"https://orcid.org/0000-0002-1024-6771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rick S. Blum","raw_affiliation_strings":["ECE Department, Lehigh University, Bethlehem, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.19563504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991999864578247,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/estimator","display_name":"Estimator","score":0.7873232364654541},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6914082169532776},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6421883702278137},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6114341020584106},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5650880336761475},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.527292013168335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5147104859352112},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.48698124289512634},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47470158338546753},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.461327463388443},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4604976177215576},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.454490602016449},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.42779961228370667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4138905107975006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4077225625514984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2857453227043152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14810818433761597},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0771445631980896},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07100293040275574},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0666283667087555}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7873232364654541},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6914082169532776},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6421883702278137},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6114341020584106},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5650880336761475},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.527292013168335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5147104859352112},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.48698124289512634},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47470158338546753},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.461327463388443},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4604976177215576},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.454490602016449},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.42779961228370667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4138905107975006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4077225625514984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2857453227043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14810818433761597},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0771445631980896},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07100293040275574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0666283667087555},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2016.7569656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569656","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":9,"referenced_works":["https://openalex.org/W1480270663","https://openalex.org/W1536252645","https://openalex.org/W1967845942","https://openalex.org/W2005694886","https://openalex.org/W2034562813","https://openalex.org/W2119227377","https://openalex.org/W2165709293","https://openalex.org/W2494661353","https://openalex.org/W4301041382"],"related_works":["https://openalex.org/W2120266201","https://openalex.org/W1479746946","https://openalex.org/W2055757274","https://openalex.org/W2511739151","https://openalex.org/W2143803213","https://openalex.org/W2155014562","https://openalex.org/W2134404114","https://openalex.org/W1964936841","https://openalex.org/W2026659681","https://openalex.org/W2185708237"],"abstract_inverted_index":{"For":[0],"many":[1],"nonlinear":[2],"estimation":[3],"problems,":[4],"classical":[5],"lower":[6],"bounds":[7,30],"such":[8],"as":[9],"the":[10,16,24,32,39,44,50,73,77,85,93],"Cramer-Rao":[11],"bound":[12,34],"(CRB)":[13],"can":[14,36],"characterize":[15],"mean":[17],"squared":[18],"error":[19],"(MSE)":[20],"performance":[21,42,75],"only":[22],"in":[23,43],"asymptotic":[25,63,79],"region.":[26],"While":[27],"more":[28],"powerful":[29],"like":[31],"Ziv-Zakai":[33],"(ZZB)":[35],"also":[37],"predict":[38],"best":[40],"MSE":[41,74],"nonasymptotic":[45],"region,":[46],"they":[47],"may":[48],"complicate":[49],"computation":[51],"to":[52,71,90],"an":[53,96],"unaffordable":[54],"extent.":[55],"In":[56],"this":[57],"paper,":[58],"for":[59,99],"estimators":[60],"with":[61],"well-defined":[62],"threshold":[64,80],"and":[65,87],"virtually":[66],"identical":[67],"CRB,":[68],"we":[69],"propose":[70],"compare":[72],"using":[76],"ZZB-based":[78],"ranking.":[81],"This":[82],"method":[83],"complements":[84],"CRB":[86],"is":[88],"easier":[89],"compute":[91],"than":[92],"ZZB,":[94],"providing":[95],"efficient":[97],"tool":[98],"preliminary":[100],"system":[101],"design.":[102]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}