{"id":"https://openalex.org/W2164506690","doi":"https://doi.org/10.1109/wpnc.2008.4510360","title":"Time delay estimation in dense multipath with matched subspace filters","display_name":"Time delay estimation in dense multipath with matched subspace filters","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2164506690","doi":"https://doi.org/10.1109/wpnc.2008.4510360","mag":"2164506690"},"language":"en","primary_location":{"id":"doi:10.1109/wpnc.2008.4510360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpnc.2008.4510360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th Workshop on Positioning, Navigation and Communication","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/A5066579772","display_name":"Sayit Korkmaz","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Sayit Korkmaz","raw_affiliation_strings":["Department Electrical Engineering (EEMCS), Delft University of Technnology, Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department Electrical Engineering (EEMCS), Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011134257","display_name":"A. van Veen","orcid":"https://orcid.org/0000-0003-4249-585X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alle-Jan van der Veen","raw_affiliation_strings":["Department Electrical Engineering (EEMCS), Delft University of Technnology, Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department Electrical Engineering (EEMCS), Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066579772"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.17172048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"79","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10655","display_name":"GNSS positioning and interference","score":0.9991000294685364,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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/multipath-propagation","display_name":"Multipath propagation","score":0.7673081755638123},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7526512145996094},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.7346372604370117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228610873222351},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6054753661155701},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.5273041725158691},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5144239068031311},{"id":"https://openalex.org/keywords/delay-spread","display_name":"Delay spread","score":0.48256176710128784},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4790043532848358},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.417349636554718},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2576684057712555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20865708589553833},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.16556304693222046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13206681609153748}],"concepts":[{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.7673081755638123},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7526512145996094},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.7346372604370117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228610873222351},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6054753661155701},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.5273041725158691},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5144239068031311},{"id":"https://openalex.org/C49456836","wikidata":"https://www.wikidata.org/wiki/Q666814","display_name":"Delay spread","level":4,"score":0.48256176710128784},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4790043532848358},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.417349636554718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2576684057712555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20865708589553833},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.16556304693222046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13206681609153748},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wpnc.2008.4510360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpnc.2008.4510360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th Workshop on Positioning, Navigation and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1578953027","https://openalex.org/W1600011103","https://openalex.org/W1965392255","https://openalex.org/W2012462772","https://openalex.org/W2030398291","https://openalex.org/W2038053115","https://openalex.org/W2057554090","https://openalex.org/W2090627840","https://openalex.org/W2102914531","https://openalex.org/W2105489299","https://openalex.org/W2107820823","https://openalex.org/W2108807677","https://openalex.org/W2128622316","https://openalex.org/W2131222639","https://openalex.org/W2133085864","https://openalex.org/W2143864831","https://openalex.org/W2144189112","https://openalex.org/W6635876035"],"related_works":["https://openalex.org/W2551603730","https://openalex.org/W2109209689","https://openalex.org/W2146965464","https://openalex.org/W2365007576","https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W1974492695","https://openalex.org/W2596329565","https://openalex.org/W1987548326","https://openalex.org/W2185486561"],"abstract_inverted_index":{"Efficient":[0],"multipath":[1,19,28,55],"time":[2,78],"delay":[3,79],"estimation":[4,80],"is":[5,24,43,51,92,146,158,174],"of":[6,35,64,70,81,119,135,153],"great":[7],"importance":[8],"for":[9,53],"positioning":[10,71],"with":[11],"Ultra-Wide-Band":[12],"signals":[13],"in":[14],"indoor":[15],"environments.":[16],"In":[17,116,132],"dense":[18],"environments":[20],"a":[21,36,120],"simple":[22],"assumption":[23],"to":[25,58,113,126],"model":[26,42],"the":[27,45,48,62,65,68,82,95,101,117,127,133,142,147,154,170],"terms":[29],"as":[30],"attenuated":[31],"and":[32,61,85,108,191],"delayed":[33],"copies":[34],"known":[37,121,129],"waveform.":[38],"A":[39],"more":[40],"realistic":[41],"however":[44],"scenario":[46],"where":[47],"pulse":[49,122,137],"shape":[50,123,138],"different":[52],"every":[54],"term":[56],"due":[57],"scattering":[59],"effects":[60],"directionality":[63],"antennas.":[66],"For":[67],"purposes":[69],"we":[72,139,179],"face":[73],"three":[74],"problems.":[75,115],"Signal":[76],"detection,":[77],"strongest":[83,96],"path,":[84],"leading":[86,182],"edge":[87,90,183],"detection.":[88],"Leading":[89],"detection":[91,184],"necessary":[93],"since":[94],"path":[97],"may":[98],"not":[99,162,175],"be":[100],"first.":[102],"We":[103],"apply":[104],"Maximum":[105],"Likelihood":[106,110],"Estimation":[107],"Generalized":[109],"Ratio":[111],"Tests":[112],"these":[114,168],"case":[118,134],"this":[124],"leads":[125],"well":[128],"matched":[130,143,155,171],"filter.":[131],"unknown":[136],"show":[140],"that":[141,159],"subspace":[144,156,172],"filter":[145,157,173],"optimal":[148],"solution.":[149],"Another":[150],"significant":[151],"property":[152],"it":[160],"does":[161],"require":[163],"Nyquist":[164],"rate":[165],"sampling.":[166],"Beyond":[167],"advantages,":[169],"computationally":[176],"demanding.":[177],"Finally":[178],"discuss":[180],"various":[181],"methoods":[185],"like":[186],"generalized":[187],"likelihood":[188],"rule":[189],"(GLR)":[190],"energy":[192],"detectors.":[193]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
