{"id":"https://openalex.org/W4387760931","doi":"https://doi.org/10.1109/ipccc59175.2023.10253847","title":"Predicting the GNSS Pseudo-Measurement with a Hybrid Multi-Head Attention for Tightly-Coupled Navigation","display_name":"Predicting the GNSS Pseudo-Measurement with a Hybrid Multi-Head Attention for Tightly-Coupled Navigation","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387760931","doi":"https://doi.org/10.1109/ipccc59175.2023.10253847"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc59175.2023.10253847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59175.2023.10253847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5035814844","display_name":"Hongfu Xu","orcid":"https://orcid.org/0000-0001-6031-7892"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongfu Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052635380","display_name":"Haiyong Luo","orcid":"https://orcid.org/0000-0001-6827-4225"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Luo","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences,Beijing,China,100190","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903834","display_name":"Zijian Wu","orcid":"https://orcid.org/0000-0001-8575-4757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Wu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329778","display_name":"Fang Zhao","orcid":"https://orcid.org/0000-0002-4784-5778"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035814844"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.1339,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45470355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9979000091552734,"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":0.9979000091552734,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9868000149726868,"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":0.9854999780654907,"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/gnss-applications","display_name":"GNSS applications","score":0.967079758644104},{"id":"https://openalex.org/keywords/pseudorange","display_name":"Pseudorange","score":0.9160828590393066},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7983751893043518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7545630931854248},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5256665349006653},{"id":"https://openalex.org/keywords/satellite-system","display_name":"Satellite system","score":0.49994516372680664},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46361738443374634},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.45667099952697754},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.44324809312820435},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.44244712591171265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41234320402145386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12688598036766052},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11468157172203064}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.967079758644104},{"id":"https://openalex.org/C174201072","wikidata":"https://www.wikidata.org/wiki/Q1187347","display_name":"Pseudorange","level":4,"score":0.9160828590393066},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7983751893043518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545630931854248},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5256665349006653},{"id":"https://openalex.org/C2778027091","wikidata":"https://www.wikidata.org/wiki/Q25346003","display_name":"Satellite system","level":4,"score":0.49994516372680664},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46361738443374634},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.45667099952697754},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.44324809312820435},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.44244712591171265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41234320402145386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12688598036766052},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11468157172203064},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc59175.2023.10253847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59175.2023.10253847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1564768010","https://openalex.org/W1968568564","https://openalex.org/W1994691007","https://openalex.org/W2021246368","https://openalex.org/W2030749616","https://openalex.org/W2059671830","https://openalex.org/W2080538070","https://openalex.org/W2134540014","https://openalex.org/W2184638288","https://openalex.org/W2514550022","https://openalex.org/W2560307227","https://openalex.org/W2580246494","https://openalex.org/W2592057510","https://openalex.org/W2753943696","https://openalex.org/W2766862971","https://openalex.org/W2995170636","https://openalex.org/W2999466041","https://openalex.org/W3001529749","https://openalex.org/W3092019549","https://openalex.org/W3177318507","https://openalex.org/W3200846680","https://openalex.org/W6606669092"],"related_works":["https://openalex.org/W3216386610","https://openalex.org/W2796739365","https://openalex.org/W4239395258","https://openalex.org/W2602888279","https://openalex.org/W3204981892","https://openalex.org/W4380563814","https://openalex.org/W1979458460","https://openalex.org/W3130617165","https://openalex.org/W2904557485","https://openalex.org/W3198415914"],"abstract_inverted_index":{"The":[0,66],"demand":[1],"for":[2],"high-accuracy":[3],"continuous":[4,26],"positioning":[5,27,142],"of":[6,81],"vehicles":[7],"in":[8,28],"complex":[9],"environments":[10],"has":[11],"become":[12],"more":[13,15],"and":[14,103,112,123],"urgent.":[16],"Although":[17],"existing":[18],"tightly-coupled":[19,148],"navigation":[20,149],"based":[21],"on":[22,128],"GNSS/INS":[23],"can":[24,118,135],"provide":[25],"these":[29],"scenes":[30],"with":[31,146],"bad":[32],"GNSS":[33,37,58,62,84],"signals":[34,63],"or":[35],"short-term":[36],"outages,":[38],"it":[39],"still":[40],"cannot":[41],"meet":[42],"the":[43,48,61,77,82,97,109,113,120,132],"application":[44],"requirements.":[45],"To":[46],"tackle":[47],"aforementioned":[49],"problems,":[50],"we":[51],"propose":[52],"a":[53,69],"novel":[54],"algorithm":[55,67,134],"to":[56,75,92],"predict":[57],"pseudo-measurement":[59],"when":[60],"are":[64,90],"blocked.":[65],"introduces":[68],"hybrid":[70],"multi-head":[71],"attention":[72,87],"neural":[73,88],"network":[74],"learn":[76],"dynamic":[78],"nonlinear":[79],"relationship":[80],"raw":[83],"observations.":[85],"Three":[86],"networks":[89],"used":[91],"capture":[93],"richer":[94],"features":[95],"from":[96],"pseudorange,":[98],"pseudorange":[99],"rate,":[100],"satellite":[101,110],"position":[102,105],"carrier":[104,114],"as":[106,108],"well":[107],"velocity":[111],"velocity,":[115],"respectively,":[116],"which":[117],"improve":[119],"generalization":[121],"ability":[122],"avoid":[124],"overfitting.":[125],"Extensive":[126],"experiments":[127],"dataset":[129],"show":[130],"that":[131],"proposed":[133],"obtain":[136],"at":[137],"least":[138],"$20":[139],"\\sim":[140],"30$%":[141],"accuracy":[143],"improvement":[144],"compared":[145],"other":[147],"methods.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
