{"id":"https://openalex.org/W3004380378","doi":"https://doi.org/10.1109/tsp.2020.2969048","title":"Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches","display_name":"Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3004380378","doi":"https://doi.org/10.1109/tsp.2020.2969048","mag":"3004380378"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.2969048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2969048","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.00715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069960741","display_name":"Di Jin","orcid":"https://orcid.org/0000-0002-6840-4189"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Di Jin","raw_affiliation_strings":["Signal Processing Group at Technische Universit\u00e4t Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Signal Processing Group at Technische Universit\u00e4t Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696174","display_name":"Feng Yin","orcid":"https://orcid.org/0000-0001-5754-9246"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yin","raw_affiliation_strings":["School of Science and Engineering at Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering at Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000005967","display_name":"Carsten Fritsche","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Carsten Fritsche","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058002446","display_name":"Fredrik Gustafsson","orcid":"https://orcid.org/0000-0003-3270-171X"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fredrik Gustafsson","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001328562","display_name":"Abdelhak M. Zoubir","orcid":"https://orcid.org/0000-0002-4409-7743"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abdelhak M. Zoubir","raw_affiliation_strings":["Signal Processing Group at Technische Universit\u00e4t Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Signal Processing Group at Technische Universit\u00e4t Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069960741"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":3.4322,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93035261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"68","issue":null,"first_page":"1120","last_page":"1135"},"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":0.9979000091552734,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.6000494360923767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5512446761131287},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5377542972564697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.525654673576355},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.513165295124054},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.5050211548805237},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.49723055958747864},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49540913105010986},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4794118106365204},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.3866592049598694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37981927394866943},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11946415901184082}],"concepts":[{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.6000494360923767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5512446761131287},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5377542972564697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.525654673576355},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.513165295124054},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.5050211548805237},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.49723055958747864},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49540913105010986},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4794118106365204},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3866592049598694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37981927394866943},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11946415901184082},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2020.2969048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2969048","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:arXiv.org:1904.00715","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.00715","pdf_url":"https://arxiv.org/pdf/1904.00715","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:DiVA.org:liu-165498","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165498","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.00715","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.00715","pdf_url":"https://arxiv.org/pdf/1904.00715","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2787897700","display_name":null,"funder_award_id":"2017072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3922001540","display_name":null,"funder_award_id":"ZDSYS201707251409055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G434869240","display_name":null,"funder_award_id":"201707","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5685167618","display_name":null,"funder_award_id":"61701426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6553217178","display_name":null,"funder_award_id":"51409055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8783113536","display_name":null,"funder_award_id":"2017ZT07X152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G982156559","display_name":null,"funder_award_id":"ZDSYS201707251409055","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W94449998","https://openalex.org/W1538441114","https://openalex.org/W1585228652","https://openalex.org/W1663973292","https://openalex.org/W1938368560","https://openalex.org/W1963802226","https://openalex.org/W1963913656","https://openalex.org/W1974755780","https://openalex.org/W1983874789","https://openalex.org/W1988543519","https://openalex.org/W1998282176","https://openalex.org/W2004289858","https://openalex.org/W2005420066","https://openalex.org/W2008141156","https://openalex.org/W2008472928","https://openalex.org/W2009271970","https://openalex.org/W2012197287","https://openalex.org/W2015402294","https://openalex.org/W2028103161","https://openalex.org/W2038946940","https://openalex.org/W2054903053","https://openalex.org/W2054922267","https://openalex.org/W2082715409","https://openalex.org/W2105738738","https://openalex.org/W2110407935","https://openalex.org/W2111051172","https://openalex.org/W2114351513","https://openalex.org/W2120048446","https://openalex.org/W2121454265","https://openalex.org/W2124178852","https://openalex.org/W2129088323","https://openalex.org/W2130403046","https://openalex.org/W2130953005","https://openalex.org/W2131297510","https://openalex.org/W2134041135","https://openalex.org/W2134218892","https://openalex.org/W2140708977","https://openalex.org/W2141585124","https://openalex.org/W2143862821","https://openalex.org/W2145417574","https://openalex.org/W2148787535","https://openalex.org/W2150151472","https://openalex.org/W2152001538","https://openalex.org/W2156075923","https://openalex.org/W2159080219","https://openalex.org/W2162718622","https://openalex.org/W2167947196","https://openalex.org/W2170102584","https://openalex.org/W2328831119","https://openalex.org/W2341051514","https://openalex.org/W2363251419","https://openalex.org/W2407188328","https://openalex.org/W2531348030","https://openalex.org/W2593109298","https://openalex.org/W2790826789","https://openalex.org/W2805020273","https://openalex.org/W2809251855","https://openalex.org/W2972776893","https://openalex.org/W2979557308","https://openalex.org/W2980334917","https://openalex.org/W4233014035","https://openalex.org/W6603818018","https://openalex.org/W6679208015","https://openalex.org/W7053625123"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2793786119","https://openalex.org/W2792172447","https://openalex.org/W4224883704"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,101,110],"Bayesian":[3],"framework":[4],"for":[5],"the":[6,21,28,31,56,77,80,90,96,137,141,152,157],"received-signal-strength-based":[7],"cooperative":[8],"localization":[9],"problem":[10,38],"with":[11,79],"unknown":[12,26],"path":[13,32],"loss":[14,33],"exponent.":[15,34],"Our":[16],"purpose":[17],"is":[18,39,95],"to":[19,98,150],"infer":[20],"marginal":[22],"posterior":[23],"of":[24,82,89,133,140,156],"each":[25],"parameter:":[27],"position":[29],"or":[30],"This":[35],"probabilistic":[36],"inference":[37],"solved":[40],"using":[41],"message":[42,125],"passing":[43,126],"algorithms":[44,127],"that":[45,75,114],"update":[46],"messages":[47],"and":[48,59,117],"beliefs":[49,78],"iteratively.":[50],"For":[51],"numerical":[52,61],"tractability,":[53],"we":[54,69,108],"combine":[55],"variable":[57],"discretization":[58],"Monte-Carlo-based":[60],"approximation":[62],"schemes.":[63],"To":[64,105],"further":[65],"improve":[66],"computational":[67,134,138],"efficiency,":[68],"develop":[70,109],"an":[71,83,119],"auxiliary":[72,84,92,143],"importance":[73,93,144],"sampler":[74,94],"updates":[76],"help":[81],"variable.":[85],"An":[86],"important":[87],"ingredient":[88],"proposed":[91,124,142,158],"ability":[97],"sample":[99],"from":[100],"normalized":[102],"likelihood":[103],"function.":[104],"this":[106],"end,":[107],"stochastic":[111],"sampling":[112],"strategy":[113],"mathematically":[115],"interprets":[116],"corrects":[118],"existing":[120],"heuristic":[121],"strategy.":[122],"The":[123],"are":[128,148],"analyzed":[129],"systematically":[130],"in":[131],"terms":[132],"complexity,":[135],"demonstrating":[136],"efficiency":[139],"sampler.":[145],"Various":[146],"simulations":[147],"conducted":[149],"validate":[151],"overall":[153],"good":[154],"performance":[155],"algorithms.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
