{"id":"https://openalex.org/W2585999254","doi":"https://doi.org/10.1109/icinfa.2016.7832146","title":"The airborne gravity signal processing based on Kalman and FIR cascade filter","display_name":"The airborne gravity signal processing based on Kalman and FIR cascade filter","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2585999254","doi":"https://doi.org/10.1109/icinfa.2016.7832146","mag":"2585999254"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2016.7832146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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/A5051753659","display_name":"Xinlei Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlei Zou","raw_affiliation_strings":["Mechatronies and Automation College, National University of Defense Technology, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechatronies and Automation College, National University of Defense Technology, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050799659","display_name":"Shaokun Cai","orcid":"https://orcid.org/0000-0002-2670-8256"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaokun Cai","raw_affiliation_strings":["Mechatronies and Automation College, National University of Defense Technology, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechatronies and Automation College, National University of Defense Technology, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104028058","display_name":"Meiping Wu","orcid":"https://orcid.org/0009-0003-7974-7130"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Wu","raw_affiliation_strings":["Mechatronies and Automation College, National University of Defense Technology, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechatronies and Automation College, National University of Defense Technology, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"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":"1996","last_page":"2000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9948999881744385,"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/T10655","display_name":"GNSS positioning and interference","score":0.9937000274658203,"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/cascade","display_name":"Cascade","score":0.6995229125022888},{"id":"https://openalex.org/keywords/gravity-anomaly","display_name":"Gravity anomaly","score":0.6455446481704712},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6261993646621704},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5499130487442017},{"id":"https://openalex.org/keywords/gravimeter","display_name":"Gravimeter","score":0.5428802967071533},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4907444715499878},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.453269898891449},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.43667271733283997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43575379252433777},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42806482315063477},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3856419324874878},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.255227655172348},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22109487652778625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19084268808364868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1659204065799713},{"id":"https://openalex.org/keywords/geophysics","display_name":"Geophysics","score":0.09951701760292053},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09929585456848145}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6995229125022888},{"id":"https://openalex.org/C96342900","wikidata":"https://www.wikidata.org/wiki/Q1413914","display_name":"Gravity anomaly","level":3,"score":0.6455446481704712},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6261993646621704},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5499130487442017},{"id":"https://openalex.org/C139974479","wikidata":"https://www.wikidata.org/wiki/Q499964","display_name":"Gravimeter","level":3,"score":0.5428802967071533},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4907444715499878},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.453269898891449},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.43667271733283997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43575379252433777},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42806482315063477},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3856419324874878},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.255227655172348},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22109487652778625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19084268808364868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1659204065799713},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.09951701760292053},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09929585456848145},{"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C30399818","wikidata":"https://www.wikidata.org/wiki/Q5048830","display_name":"Casing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2016.7832146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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":5,"referenced_works":["https://openalex.org/W2068547434","https://openalex.org/W2088213044","https://openalex.org/W2116076104","https://openalex.org/W2377571412","https://openalex.org/W4251536363"],"related_works":["https://openalex.org/W2748254977","https://openalex.org/W2180863045","https://openalex.org/W4388276001","https://openalex.org/W2522342111","https://openalex.org/W84418436","https://openalex.org/W2349836104","https://openalex.org/W2981746648","https://openalex.org/W2384178684","https://openalex.org/W3039637043","https://openalex.org/W2145300201"],"abstract_inverted_index":{"Due":[0],"to":[1,64,78,142],"the":[2,7,37,49,57,68,73,79,94,101,105,115,118,125,128,131],"influence":[3],"of":[4,22,36,56,59,67,71,117,127,134],"various":[5],"factors,":[6],"gravity":[8,14,32,39,84,96,120,136],"anomaly":[9,40,85,121],"data":[10,41,86,97,122],"acquired":[11],"with":[12,19,87],"airborne":[13,38,95,135],"measurement":[15,137],"is":[16,76],"unavoidably":[17],"mixed":[18],"a":[20,110],"lot":[21],"noise,":[23,72],"which":[24],"doesn't":[25],"have":[26],"any":[27],"apparent":[28],"transition":[29],"from":[30,139],"useful":[31],"signal.":[33],"Although":[34],"most":[35],"noise":[42,116],"can":[43],"be":[44,53],"removed":[45],"through":[46],"digital":[47],"filter,":[48],"overlapped":[50,69,119],"part":[51,70],"cannot":[52],"eliminated":[54],"because":[55],"characteristics":[58],"lowpass":[60],"filter.":[61],"In":[62],"order":[63],"get":[65],"rid":[66],"Kalman":[74],"filter":[75],"added":[77],"original":[80],"method,":[81],"and":[82],"processes":[83],"this":[88],"cascade":[89,106],"filtering":[90,107],"method.":[91],"By":[92],"processing":[93],"in":[98,113],"one":[99],"measurement,":[100],"result":[102],"proves":[103],"that":[104],"method":[108],"does":[109],"good":[111],"job":[112],"eliminating":[114],"without":[123],"affecting":[124],"resolution":[126],"data,":[129],"making":[130],"inner":[132],"precision":[133],"improve":[138],"1.45":[140],"mGal":[141],"1.20":[143],"mGal.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}