{"id":"https://openalex.org/W2157659350","doi":"https://doi.org/10.1109/lsp.2009.2024803","title":"Performance Bound Approximation for Bearing Estimation with Bias Correction","display_name":"Performance Bound Approximation for Bearing Estimation with Bias Correction","publication_year":2009,"publication_date":"2009-06-10","ids":{"openalex":"https://openalex.org/W2157659350","doi":"https://doi.org/10.1109/lsp.2009.2024803","mag":"2157659350"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2009.2024803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2009.2024803","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5075398704","display_name":"Wen Xu","orcid":"https://orcid.org/0000-0001-9138-8773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen Xu","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, University of Zhejiang, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, University of Zhejiang, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371353","display_name":"Qing Chen","orcid":"https://orcid.org/0000-0002-2088-0370"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Chen","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, University of Zhejiang, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, University of Zhejiang, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068660835","display_name":"Ying Jiang","orcid":"https://orcid.org/0000-0002-5349-9293"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Jiang","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, University of Zhejiang, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, University of Zhejiang, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12290574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"10","first_page":"833","last_page":"836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.998199999332428,"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/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"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/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6542016267776489},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6418946981430054},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5341796875},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.5193111300468445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5147226452827454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5004723072052002},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.4965105652809143},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47420385479927063},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.46460407972335815},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.432604044675827},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4259431064128876},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.41559380292892456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3479035496711731},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.12257462739944458},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10772442817687988},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07166576385498047}],"concepts":[{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6542016267776489},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6418946981430054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5341796875},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.5193111300468445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5147226452827454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5004723072052002},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.4965105652809143},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47420385479927063},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.46460407972335815},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.432604044675827},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4259431064128876},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.41559380292892456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3479035496711731},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.12257462739944458},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10772442817687988},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07166576385498047},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2009.2024803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2009.2024803","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2050348941","https://openalex.org/W2064718536","https://openalex.org/W2094775216","https://openalex.org/W2152516833","https://openalex.org/W2165651244","https://openalex.org/W4246841922"],"related_works":["https://openalex.org/W3111419928","https://openalex.org/W2585557503","https://openalex.org/W2169354510","https://openalex.org/W1911817635","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W1967187784","https://openalex.org/W2242778450","https://openalex.org/W2380803194"],"abstract_inverted_index":{"Array-based":[0],"bearing":[1],"estimation":[2,16,40],"often":[3],"displays":[4],"a":[5,70],"threshold":[6,97],"behavior,":[7],"that":[8],"is,":[9],"below":[10],"certain":[11],"signal-to-noise":[12],"ratio":[13],"(SNR)":[14],"the":[15,48,52,62,81,103],"mean-square":[17],"error":[18,23,99],"(MSE)":[19],"increases":[20],"dramatically.":[21],"The":[22,58,92],"increase":[24],"is":[25,66,77],"known":[26],"to":[27,31,88,102],"be":[28],"largely":[29],"attributed":[30],"sidelobe":[32],"ambiguities":[33],"in":[34],"signal":[35],"field":[36],"correlation":[37],"along":[38],"with":[39],"bias":[41,60,107],"at":[42],"low":[43],"SNR.":[44],"This":[45],"paper":[46],"investigates":[47],"bias-related":[49],"contribution":[50],"from":[51],"perspective":[53],"of":[54,61],"local":[55],"performance":[56],"bounds.":[57],"first-order":[59],"maximum":[63],"likelihood":[64],"estimate":[65],"first":[67],"derived":[68],"for":[69],"complex":[71],"multivariate":[72],"Gaussian":[73],"data":[74],"model,":[75],"which":[76],"then":[78],"incorporated":[79],"into":[80],"Cramer-Rao":[82],"bound":[83,86],"and":[84],"Barankin":[85],"respectively":[87],"obtain":[89],"MSE":[90],"approximations.":[91],"simulations":[93],"show":[94],"an":[95],"improved":[96],"region":[98],"prediction":[100],"compared":[101],"same":[104],"bounds":[105],"without":[106],"correction.":[108]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
