{"id":"https://openalex.org/W4290996399","doi":"https://doi.org/10.1109/icc45855.2022.9838504","title":"An Efficient Sensor Selection Algorithm for TDOA Localization with Estimated Source Position","display_name":"An Efficient Sensor Selection Algorithm for TDOA Localization with Estimated Source Position","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996399","doi":"https://doi.org/10.1109/icc45855.2022.9838504"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838504","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","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/A5101804205","display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0001-7843-3023"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050651525","display_name":"Nan Cheng","orcid":"https://orcid.org/0000-0001-7907-2071"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Cheng","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697315","display_name":"Zan Li","orcid":"https://orcid.org/0000-0002-5207-6504"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Li","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037107704","display_name":"Benjian Hao","orcid":"https://orcid.org/0000-0002-6676-7306"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benjian Hao","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101804205"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.9591,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68207489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"871","last_page":"876"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/multilateration","display_name":"Multilateration","score":0.9373230934143066},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.890204906463623},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7523902654647827},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6332682967185974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096880435943604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5980052351951599},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5143741369247437},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4536932110786438},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4342164397239685},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.43121904134750366},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42987972497940063},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36610183119773865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28913936018943787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20540344715118408},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.19511106610298157},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.0994802713394165}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.9373230934143066},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.890204906463623},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7523902654647827},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6332682967185974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096880435943604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5980052351951599},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5143741369247437},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4536932110786438},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4342164397239685},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.43121904134750366},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42987972497940063},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36610183119773865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28913936018943787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20540344715118408},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.19511106610298157},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.0994802713394165},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838504","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1999933558","https://openalex.org/W2006805041","https://openalex.org/W2046382631","https://openalex.org/W2075928722","https://openalex.org/W2134060757","https://openalex.org/W2161101713","https://openalex.org/W2169207653","https://openalex.org/W2169908284","https://openalex.org/W2554636953","https://openalex.org/W2969263091","https://openalex.org/W3045276361","https://openalex.org/W4256197292"],"related_works":["https://openalex.org/W2143803213","https://openalex.org/W2358526277","https://openalex.org/W2138144598","https://openalex.org/W1974000248","https://openalex.org/W2774025541","https://openalex.org/W2082904991","https://openalex.org/W2153126047","https://openalex.org/W4229001200","https://openalex.org/W3013574042","https://openalex.org/W3129171852"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3],"improving":[4],"the":[5,10,19,38,47,52,55,60,69,84,88,96,130,139,153],"sensor":[6,62,110],"selection":[7,111],"performance":[8],"in":[9],"time":[11],"difference":[12],"of":[13,21,87,141],"arrival":[14],"(TDOA)-based":[15],"localization":[16,56,136],"scenario":[17],"with":[18,138,152],"presence":[20],"source":[22,30,98],"estimation":[23],"error.":[24],"In":[25],"existing":[26],"schemes,":[27],"a":[28,73,107,119],"coarse":[29],"position":[31,49,90,99],"is":[32],"first":[33],"estimated":[34,48,97],"and":[35,117,146],"regarded":[36],"as":[37],"actual":[39,53,89],"counterpart":[40],"for":[41],"selecting":[42],"optimal":[43],"sensors.":[44],"However,":[45],"if":[46],"deviates":[50],"from":[51],"position,":[54],"accuracy":[57],"determined":[58],"by":[59,91],"selected":[61],"subset":[63],"will":[64],"severely":[65],"degrade.":[66],"To":[67],"solve":[68],"issue,":[70],"we":[71,105],"devise":[72],"distance-related":[74],"weighted":[75],"average":[76],"Cram\u00e9r":[77],"Rao":[78],"lower":[79,148],"bound":[80],"(WA-CRLB)":[81],"to":[82,101,114],"include":[83],"spatial":[85],"information":[86],"scattering":[92],"sampling":[93],"points":[94],"around":[95],"according":[100],"its":[102],"distribution.":[103],"Then,":[104],"formulate":[106],"Boolean":[108],"vector-based":[109],"optimization":[112],"problem":[113],"minimize":[115],"WA-CRLB":[116],"propose":[118],"modified":[120],"iterative":[121],"swapping":[122],"greedy":[123],"(MISG)":[124],"algorithm.":[125],"Simulation":[126],"results":[127],"show":[128],"that":[129],"proposed":[131],"MISG":[132],"algorithm":[133],"achieves":[134],"higher":[135],"robustness":[137],"increase":[140],"TDOA":[142],"measurement":[143],"error":[144],"strength,":[145],"has":[147],"computational":[149],"complexity":[150],"compared":[151],"previous":[154],"semi-definite":[155],"relaxation":[156],"(SDR)-based":[157],"algorithms.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
