{"id":"https://openalex.org/W2903005356","doi":"https://doi.org/10.1109/wcsp.2018.8555670","title":"A Hybrid BP-VMP-EP Localization Algorithm for Passive MIMO Radar Networks","display_name":"A Hybrid BP-VMP-EP Localization Algorithm for Passive MIMO Radar Networks","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2903005356","doi":"https://doi.org/10.1109/wcsp.2018.8555670","mag":"2903005356"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2018.8555670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054108953","display_name":"Dan Wu","orcid":"https://orcid.org/0000-0003-1740-7440"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102223420","display_name":"Yuan Feng","orcid":"https://orcid.org/0009-0008-0057-5839"},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Feng","raw_affiliation_strings":["China Research and Development Academy of Machinery Equipment, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210145825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358534","display_name":"Jianfeng Wang","orcid":"https://orcid.org/0009-0007-7091-5563"},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Wang","raw_affiliation_strings":["China Research and Development Academy of Machinery Equipment, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210145825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051859982","display_name":"Nan Wu","orcid":"https://orcid.org/0000-0002-4982-2975"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9994999766349792,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424724102020264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6837592124938965},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.647806704044342},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.556183934211731},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5380496382713318},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5125381946563721},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4902835190296173},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4428767263889313},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4122138023376465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18016809225082397},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13704553246498108},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08431220054626465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424724102020264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6837592124938965},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.647806704044342},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.556183934211731},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5380496382713318},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5125381946563721},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4902835190296173},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4428767263889313},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4122138023376465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18016809225082397},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13704553246498108},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08431220054626465},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/wcsp.2018.8555670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1836036400","https://openalex.org/W1966718424","https://openalex.org/W1973457107","https://openalex.org/W2002105608","https://openalex.org/W2054656021","https://openalex.org/W2099568697","https://openalex.org/W2100758588","https://openalex.org/W2101290769","https://openalex.org/W2121635675","https://openalex.org/W2124888202","https://openalex.org/W2542598952","https://openalex.org/W2597126179","https://openalex.org/W6678251392"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W2585209928","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W2158165366","https://openalex.org/W3195147989"],"abstract_inverted_index":{"A":[0],"passive":[1],"multiple-input":[2],"multiple-output":[3],"(MIMO)":[4],"radar":[5],"(PMR)":[6],"network":[7],"is":[8,43],"an":[9,98],"efficient":[10],"system":[11],"to":[12],"detect":[13],"and":[14,23,72,114,123],"track":[15],"targets,":[16],"which":[17],"consists":[18],"of":[19,25,101],"multiple":[20],"distributed":[21],"receivers":[22],"illuminators":[24],"opportunity.":[26],"Conventional":[27],"two-step":[28,102,112],"localization":[29,83],"first":[30],"estimates":[31],"the":[32,41,91,107],"distance":[33],"based":[34],"on":[35],"signal":[36],"time":[37],"delay":[38],"measurements,":[39],"then":[40],"location":[42],"obtained":[44],"by":[45],"using":[46],"least":[47],"square":[48],"or":[49],"maximum":[50],"likelihood":[51],"estimator.":[52],"Recently,":[53],"several":[54],"works":[55],"show":[56,105],"that":[57,106],"through":[58],"direct":[59],"localization,":[60,113],"performance":[61],"can":[62,94],"be":[63,95],"significantly":[64],"improved.":[65],"For":[66],"a":[67,79,87,116],"better":[68],"balance":[69],"between":[70,118],"accuracy":[71],"complexity,":[73],"in":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"hybrid":[80],"message":[81],"passing":[82],"algorithm.":[84],"Derived":[85],"from":[86],"Bayesian":[88],"inference":[89],"framework,":[90],"proposed":[92,108],"method":[93],"regarded":[96],"as":[97],"iterative":[99],"version":[100],"methods.":[103],"Simulations":[104],"algorithm":[109],"outperforms":[110],"conventional":[111],"provides":[115],"trade-off":[117],"position":[119],"accuracy,":[120],"communication":[121],"overhead":[122],"computational":[124],"costs.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
