{"id":"https://openalex.org/W2791594756","doi":"https://doi.org/10.1109/rcar.2017.8311870","title":"A method for high accuracy heading angle combined with ellipsoid calibration and BP neural network","display_name":"A method for high accuracy heading angle combined with ellipsoid calibration and BP neural network","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2791594756","doi":"https://doi.org/10.1109/rcar.2017.8311870","mag":"2791594756"},"language":"en","primary_location":{"id":"doi:10.1109/rcar.2017.8311870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2017.8311870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5071387937","display_name":"XieWei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"XieWei Xie","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shen Zhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073721190","display_name":"Qiaoyuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoyuan Chen","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109122721","display_name":"Kun Ming","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Ming","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337605","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-6562-1292"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104079377","display_name":"Yufeng Jin","orcid":"https://orcid.org/0009-0006-9750-4599"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Jin","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shen Zhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019481197","display_name":"Guangyi Shi","orcid":"https://orcid.org/0000-0003-0609-4805"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Shi","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shen Zhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071387937"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12169817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"258","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9965999722480774,"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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9387999773025513,"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/heading","display_name":"Heading (navigation)","score":0.8913494348526001},{"id":"https://openalex.org/keywords/magnetometer","display_name":"Magnetometer","score":0.8241156339645386},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.6624954342842102},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5779599547386169},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5762252807617188},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5649830102920532},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5537289381027222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4541170597076416},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4491071105003357},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4231835603713989},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2874239385128021},{"id":"https://openalex.org/keywords/magnetic-field","display_name":"Magnetic field","score":0.2750869393348694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2543112635612488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1843554675579071}],"concepts":[{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.8913494348526001},{"id":"https://openalex.org/C153946474","wikidata":"https://www.wikidata.org/wiki/Q333921","display_name":"Magnetometer","level":3,"score":0.8241156339645386},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.6624954342842102},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5779599547386169},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5762252807617188},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5649830102920532},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5537289381027222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4541170597076416},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4491071105003357},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4231835603713989},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2874239385128021},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.2750869393348694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2543112635612488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1843554675579071},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar.2017.8311870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2017.8311870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2016542340","https://openalex.org/W2111909198","https://openalex.org/W2135212768","https://openalex.org/W2350945474","https://openalex.org/W2577379721","https://openalex.org/W2579545915","https://openalex.org/W3140595693","https://openalex.org/W6683405241"],"related_works":["https://openalex.org/W4244052565","https://openalex.org/W2358719579","https://openalex.org/W2385042721","https://openalex.org/W2367929022","https://openalex.org/W2351754530","https://openalex.org/W2378649906","https://openalex.org/W2765080098","https://openalex.org/W2391014597","https://openalex.org/W2112493694","https://openalex.org/W4312243923"],"abstract_inverted_index":{"Magnetometer":[0],"is":[1,29,56,62,90,95,113,128],"widely":[2],"used":[3,114],"to":[4,19,70,97,115],"indicate":[5],"the":[6,12,21,42,46,53,59,66,72,75,80,84,88,98,103,106,124],"heading":[7,36,85,125],"of":[8,39,44,83,87,105],"vehicle":[9],"by":[10],"measuring":[11],"Earth's":[13],"magnetic":[14],"field.":[15],"In":[16],"this":[17],"article,":[18],"solve":[20],"problem":[22],"existing":[23],"in":[24],"3D":[25],"magnetometer,":[26],"a":[27,33],"method":[28,69,112],"presented":[30],"for":[31],"fitting":[32,68],"high":[34],"precision":[35],"angle.":[37],"First":[38],"all,":[40],"on":[41],"basis":[43],"analyzing":[45],"sensor":[47],"working":[48],"principle":[49],"and":[50,58,74],"error":[51,54,82,101,127],"sources,":[52],"model":[55],"established":[57],"compensation":[60],"algorithms":[61],"developed.":[63],"Then":[64],"using":[65],"ellipsoid":[67],"calibrate":[71],"magnetometer":[73,89],"accelerometer":[76],"simultaneously.":[77],"After":[78],"that,":[79],"maximum":[81],"angle":[86,126],"about":[91],"3":[92],"degrees.":[93,132],"This":[94],"due":[96],"non-orthogonal":[99],"coupling":[100],"between":[102],"axes":[104],"magnetometer.":[107],"The":[108,120],"BP":[109],"neural":[110],"network":[111],"fit":[116],"its":[117],"nonlinearity":[118],"error.":[119],"results":[121],"show":[122],"that":[123],"controlled":[129],"within":[130],"0.8":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}