{"id":"https://openalex.org/W4210687565","doi":"https://doi.org/10.1109/tsp.2022.3146023","title":"An Enhanced Lattice Algorithm for Range Estimation Using Noisy Measurement With Phase Ambiguity","display_name":"An Enhanced Lattice Algorithm for Range Estimation Using Noisy Measurement With Phase Ambiguity","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210687565","doi":"https://doi.org/10.1109/tsp.2022.3146023"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3146023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3146023","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":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/An_Enhanced_Lattice_Algorithm_for_Range_Estimation_Using_Noisy_Measurement_with_Phase_Ambiguity/20592057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100381719","display_name":"Wenchao Li","orcid":"https://orcid.org/0000-0001-8926-5539"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Wenchao Li","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024842018","display_name":"Xuezhi Wang","orcid":"https://orcid.org/0000-0001-7592-2358"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuezhi Wang","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107869419","display_name":"Bill Moran","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bill Moran","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100381719"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.2777,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6046337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"70","issue":null,"first_page":"890","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9936000108718872,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/algorithm","display_name":"Algorithm","score":0.8100067377090454},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6423181295394897},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.6127997040748596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5316546559333801},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.521554708480835},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.46233129501342773},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41598111391067505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.349203884601593},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.127912700176239}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.8100067377090454},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6423181295394897},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.6127997040748596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5316546559333801},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.521554708480835},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.46233129501342773},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41598111391067505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.349203884601593},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.127912700176239},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tsp.2022.3146023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3146023","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:alma61RMIT.INST:11293052280001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TSP.2022.3146023","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/20592057","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/An_Enhanced_Lattice_Algorithm_for_Range_Estimation_Using_Noisy_Measurement_with_Phase_Ambiguity/20592057","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/21132682","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/An_Enhanced_Lattice_Algorithm_for_Range_Estimation_Using_Noisy_Measurement_With_Phase_Ambiguity/21132682","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/27553623","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20592057","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/An_Enhanced_Lattice_Algorithm_for_Range_Estimation_Using_Noisy_Measurement_with_Phase_Ambiguity/20592057","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W39299451","https://openalex.org/W1536628188","https://openalex.org/W1881017251","https://openalex.org/W1976826674","https://openalex.org/W1979090482","https://openalex.org/W1984442391","https://openalex.org/W2035781118","https://openalex.org/W2063921098","https://openalex.org/W2069973845","https://openalex.org/W2096735547","https://openalex.org/W2102710768","https://openalex.org/W2123065037","https://openalex.org/W2140940105","https://openalex.org/W2152185946","https://openalex.org/W2165523162","https://openalex.org/W2170618847","https://openalex.org/W2261963144","https://openalex.org/W2267105192","https://openalex.org/W2403967766","https://openalex.org/W2550072578","https://openalex.org/W2664276781","https://openalex.org/W2807984534","https://openalex.org/W2891505546","https://openalex.org/W2897352924","https://openalex.org/W2912327531","https://openalex.org/W2962852363","https://openalex.org/W2963668942","https://openalex.org/W2970781874","https://openalex.org/W3018556337","https://openalex.org/W3099536959","https://openalex.org/W3132066933"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386","https://openalex.org/W2131379912"],"abstract_inverted_index":{"The":[0,33,189,216],"problem":[1],"of":[2,35,45,63,100,115,129,139,154,181,191,199,214,225],"range":[3,86],"estimation":[4,49,87],"based":[5,23,88],"on":[6,24,89,143],"noisy":[7],"measurements":[8,46],"with":[9],"phase":[10],"ambiguity":[11],"can":[12,123],"be":[13,110,124,185],"solved":[14],"using":[15],"signals":[16],"across":[17],"multiple":[18],"frequencies":[19],"by":[20,40,104,159],"existing":[21,90],"algorithms":[22,37],"either":[25],"the":[26,41,66,70,94,98,105,111,120,130,144,155,169,186,192,196,212,223,226],"Chinese":[27],"Remainder":[28],"Theorem":[29],"or":[30],"lattice":[31,72,83,91,96,127,152,162],"theory.":[32],"performances":[34],"these":[36],"are":[38,135,164],"constrained":[39],"trade-off":[42],"between":[43],"SNR":[44],"and":[47,219],"required":[48],"accuracy.":[50],"In":[51,93,147],"this":[52,148],"paper,":[53,149],"we":[54,79],"firstly":[55],"propose":[56,80],"an":[57,81,101,173],"algorithm":[58,73,84,163,207],"to":[59,68,109,178,184,210],"find":[60],"a":[61,75,118,125,140,160,205],"set":[62],"wavelengths":[64],"satisfying":[65],"conditions":[67],"apply":[69],"closed-form":[71],"from":[74],"given":[76],"interval.":[77],"Then":[78,172],"enhanced":[82],"for":[85,168],"approaches.":[92],"conventional":[95,161],"algorithm,":[97,194],"selection":[99],"integer":[102],"vector":[103],"estimator":[106,175],"often":[107],"fails":[108],"ground":[112],"truth":[113],"because":[114],"noise.":[116],"As":[117],"result,":[119],"true":[121],"value":[122],"neighbouring":[126,151],"point":[128,132,157],"estimated":[131,156],"where":[133],"neighbours":[134],"defined":[136],"in":[137],"terms":[138],"distance":[141],"depending":[142],"noise":[145],"characteristics.":[146],"all":[150],"points":[153],"obtained":[158],"regarded":[165],"as":[166],"candidates":[167,183],"new":[170,187],"estimate.":[171,188],"efficient":[174],"is":[176,201,208],"presented":[177,209],"choose":[179],"one":[180],"those":[182],"performance":[190],"proposed":[193,227],"i.e.":[195],"successful":[197],"probability":[198,218],"reconstruction,":[200],"derived":[202],"mathematically.":[203],"Additionally,":[204],"computation-reduced":[206],"reduce":[211],"overhead":[213],"computation.":[215],"calculated":[217],"simulation":[220],"results":[221],"demonstrate":[222],"efficiency":[224],"algorithm.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
