{"id":"https://openalex.org/W2054377514","doi":"https://doi.org/10.1109/tassp.1986.1164820","title":"Large and small error performance limits for multipath time delay estimation","display_name":"Large and small error performance limits for multipath time delay estimation","publication_year":1986,"publication_date":"1986-04-01","ids":{"openalex":"https://openalex.org/W2054377514","doi":"https://doi.org/10.1109/tassp.1986.1164820","mag":"2054377514"},"language":"en","primary_location":{"id":"doi:10.1109/tassp.1986.1164820","doi":"https://doi.org/10.1109/tassp.1986.1164820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1986.1164820","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 Transactions on Acoustics, Speech, and Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5001597258","display_name":"John P. Ianniello","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J. Ianniello","raw_affiliation_strings":["Naval Underwater and Systems Center, New London, CT, USA","Naval Underwater Systems Center, New London, CT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Underwater and Systems Center, New London, CT, USA","institution_ids":[]},{"raw_affiliation_string":"Naval Underwater Systems Center, New London, CT","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5001597258"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6763,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.95252133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"34","issue":"2","first_page":"245","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.24789999425411224,"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":0.24789999425411224,"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/T13816","display_name":"Advanced Signal Processing Techniques","score":0.11379999667406082,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.07259999960660934,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cramer-rao-lower-bound","display_name":"Cramer-Rao lower bound","score":0.9679999947547913},{"id":"https://openalex.org/keywords/maximum-likelihood-estimator","display_name":"maximum likelihood estimator","score":0.7670000195503235},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"autocorrelation","score":0.7279999852180481},{"id":"https://openalex.org/keywords/reflection-coefficient","display_name":"reflection coefficient","score":0.6710000038146973},{"id":"https://openalex.org/keywords/low-signal-to-noise-ratio","display_name":"low signal-to-noise ratio","score":0.5910000205039978}],"concepts":[{"id":"https://openalex.org/C96717886","wikidata":"https://www.wikidata.org/wiki/Q786943","display_name":"Autocorrelator","level":3,"score":0.7681540250778198},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.6837886571884155},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6725486516952515},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.660200834274292},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6452718377113342},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6337994337081909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4769365191459656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4499897360801697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4204866588115692},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4012991487979889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3636561632156372},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20143067836761475},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tassp.1986.1164820","doi":"https://doi.org/10.1109/tassp.1986.1164820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1986.1164820","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 Transactions on Acoustics, Speech, and Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1500551892","https://openalex.org/W1521957458","https://openalex.org/W1842323119","https://openalex.org/W1967845942","https://openalex.org/W2009227938","https://openalex.org/W2031974170","https://openalex.org/W2094093276","https://openalex.org/W2102694351","https://openalex.org/W2104989054","https://openalex.org/W2113374105","https://openalex.org/W2126639134","https://openalex.org/W2133281238","https://openalex.org/W2156975206","https://openalex.org/W4233622498"],"related_works":["https://openalex.org/W1521957458","https://openalex.org/W2108581911","https://openalex.org/W2163388956","https://openalex.org/W2585257291","https://openalex.org/W1964672380","https://openalex.org/W2133281238","https://openalex.org/W1630825213","https://openalex.org/W2068384647","https://openalex.org/W1915682054","https://openalex.org/W7095281352"],"abstract_inverted_index":{"The":[0],"Cramer-Rao":[1],"lower":[2,7,127],"bound":[3,8,128],"(CRLB)":[4],"and":[5,41,50,88,105,156],"a":[6,21],"on":[9,129],"the":[10,33,36,53,56,58,61,66,72,75,79,91,112,116,126,134,142,157],"probability":[11,114],"of":[12,35,60,125,144,146],"large":[13,51,103,130,147,152],"errors":[14,49,87,104],"for":[15,20,65,78,115,151],"multipath":[16],"time":[17,62,107,154],"delay":[18,63],"estimation,":[19],"single":[22],"resolvable":[23],"multipath,":[24],"are":[25,30],"developed.":[26],"These":[27],"theoretical":[28],"results":[29],"compared":[31],"to":[32,94],"performance":[34,99],"maximum":[37],"likelihood":[38],"estimator":[39],"(MLE)":[40],"an":[42,95,138],"autocorrelator,":[43,96],"via":[44],"computer":[45],"simulation.":[46],"For":[47,85,102],"small":[48,86,89],"SNR,":[52,90],"MLE":[54,92],"reaches":[55],"CRLB;":[57],"variance":[59],"estimate":[64],"autocorrelator":[67,117,135],"is":[68,82,100,118,136],"much":[69],"larger":[70],"than":[71,110],"CRLB":[73],"if":[74],"reflection":[76],"coefficient":[77],"delayed":[80],"path":[81],"near":[83],"unity.":[84],"reduces":[93],"hence,":[97],"their":[98],"identical.":[101],"bandwidth":[106,153],"products":[108,155],"greater":[109],"500,":[111],"error":[113,131],"within":[119],"1":[120],"dB":[121],"in":[122],"input":[123],"SNR":[124],"probability.":[132],"Thus,":[133],"nearly":[137],"optimal":[139],"instrumentation":[140],"from":[141],"point":[143],"view":[145],"errors,":[148],"at":[149],"least":[150],"flat,":[158],"low-pass":[159],"spectrum":[160],"considered":[161],"here.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
