{"id":"https://openalex.org/W2102995708","doi":"https://doi.org/10.1109/tsp.2002.1011201","title":"Comparative tracking performance of the LMS and RLS algorithms for chirped narrowband signal recovery","display_name":"Comparative tracking performance of the LMS and RLS algorithms for chirped narrowband signal recovery","publication_year":2002,"publication_date":"2002-07-01","ids":{"openalex":"https://openalex.org/W2102995708","doi":"https://doi.org/10.1109/tsp.2002.1011201","mag":"2102995708"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2002.1011201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2002.1011201","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5042669997","display_name":"P. Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P.C. Wei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","[Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073124436","display_name":"Jun Han","orcid":"https://orcid.org/0000-0002-7286-062X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","[Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111978104","display_name":"J.R. Zeidler","orcid":null},"institutions":[{"id":"https://openalex.org/I2802223155","display_name":"Naval Information Warfare Systems Command","ror":"https://ror.org/000ztjy10","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2802223155","https://openalex.org/I3130687028"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.R. Zeidler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","Space and Naval Warfare Center, CA, USA","[Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA, Space and Naval Warfare Center, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Space and Naval Warfare Center, CA, USA","institution_ids":["https://openalex.org/I2802223155"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA, Space and Naval Warfare Center, CA, USA]","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109161443","display_name":"W.H. Ku","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W.H. Ku","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1982,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91547741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"50","issue":"7","first_page":"1602","last_page":"1609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9984999895095825,"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/narrowband","display_name":"Narrowband","score":0.7256670594215393},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6649889349937439},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5991688966751099},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5761474967002869},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5700718760490417},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5418698191642761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5242174863815308},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.47634556889533997},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42743220925331116},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4251338839530945},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4052232503890991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4016273021697998},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3866560459136963},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21993723511695862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09363484382629395}],"concepts":[{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.7256670594215393},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6649889349937439},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5991688966751099},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5761474967002869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5700718760490417},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5418698191642761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5242174863815308},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.47634556889533997},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42743220925331116},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4251338839530945},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4052232503890991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4016273021697998},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3866560459136963},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21993723511695862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09363484382629395},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2002.1011201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2002.1011201","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.6435","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.6435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://zeidler.ucsd.edu/pubs/J46.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W55846847","https://openalex.org/W1492221128","https://openalex.org/W1575706993","https://openalex.org/W1968839202","https://openalex.org/W1999542175","https://openalex.org/W2038085771","https://openalex.org/W2133247229","https://openalex.org/W2151473476","https://openalex.org/W2158281031","https://openalex.org/W2169594695","https://openalex.org/W4235305050","https://openalex.org/W4236087597"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W1484281368","https://openalex.org/W2185121463","https://openalex.org/W2171883273","https://openalex.org/W1911817635","https://openalex.org/W2114287788","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W2144530466"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,8,38,42,45,54,60,66,78,93,97,103,108,112],"comparative":[4],"tracking":[5,109,122],"performance":[6,56,157],"of":[7,44,59,77,96,134],"recursive":[9],"least":[10,14],"squares":[11],"(RLS)":[12],"and":[13,47,62,81,106],"mean":[15,98],"square":[16],"(LMS)":[17],"algorithms":[18],"for":[19,23,124,137,148,158],"time-varying":[20],"inputs,":[21,152],"specifically":[22],"linearly":[24],"chirped":[25,113],"narrowband":[26,160],"input":[27],"signals":[28],"in":[29,41,92],"additive":[30],"white":[31],"Gaussian":[32],"noise.":[33],"It":[34],"is":[35,86,116,131],"shown":[36,72,87,117],"that":[37,58,118],"structural":[39],"differences":[40],"implementation":[43],"LMS":[46,55,85,153],"RLS":[48,61,139],"weight":[49],"updates":[50],"produce":[51],"regions":[52,64,70],"where":[53,65],"exceeds":[57],"other":[63],"converse":[67],"occurs.":[68],"These":[69],"are":[71],"to":[73,88],"be":[74],"a":[75,90,132],"function":[76],"signal":[79,94,135],"bandwidth":[80,136],"signal-to-noise":[82],"ratio":[83],"(SNR).":[84],"place":[89],"notch":[91],"band":[95],"lag":[99,104],"filter,":[100],"thus":[101],"reducing":[102],"error":[105,123,143],"improving":[107],"performance.":[110],"For":[111,127],"signal,":[114],"it":[115],"this":[119],"produces":[120],"smaller":[121],"small":[125],"SNR.":[126],"high":[128,150],"SNR,":[129],"there":[130],"region":[133],"which":[138],"will":[140],"provide":[141],"lower":[142],"than":[144],"LMS,":[145],"but":[146],"even":[147],"these":[149],"SNR":[151],"always":[154],"provides":[155],"superior":[156],"very":[159],"signals.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}