{"id":"https://openalex.org/W3046957874","doi":"https://doi.org/10.1109/access.2020.3013561","title":"Combination of IMM Algorithm and ASTRWCKF for Maneuvering Target Tracking","display_name":"Combination of IMM Algorithm and ASTRWCKF for Maneuvering Target Tracking","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3046957874","doi":"https://doi.org/10.1109/access.2020.3013561","mag":"3046957874"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3013561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013561","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154388.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154388.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102709987","display_name":"Jian Ma","orcid":"https://orcid.org/0000-0003-2135-2665"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ma","raw_affiliation_strings":["Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2135-2665","affiliations":[{"raw_affiliation_string":"Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090818211","display_name":"Xiaoting Guo","orcid":"https://orcid.org/0000-0002-4892-1058"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoting Guo","raw_affiliation_strings":["Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4892-1058","affiliations":[{"raw_affiliation_string":"Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3911,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.6872914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"143095","last_page":"143103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9976999759674072,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9745000004768372,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6711164116859436},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6672399640083313},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6401616930961609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6080239415168762},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5529614686965942},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5405269265174866},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.523478627204895},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5037364363670349},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48670223355293274},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4821852743625641},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.46897682547569275},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.4215143918991089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33950892090797424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3150593638420105},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.2136792242527008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17881470918655396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10638168454170227},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07031628489494324}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6711164116859436},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6672399640083313},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6401616930961609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6080239415168762},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5529614686965942},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5405269265174866},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.523478627204895},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5037364363670349},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48670223355293274},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4821852743625641},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.46897682547569275},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.4215143918991089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33950892090797424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3150593638420105},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.2136792242527008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17881470918655396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10638168454170227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07031628489494324},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3013561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013561","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154388.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:246baf0185534bebac6a0597f057eb36","is_oa":true,"landing_page_url":"https://doaj.org/article/246baf0185534bebac6a0597f057eb36","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 143095-143103 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3013561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013561","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154388.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7179728989","display_name":null,"funder_award_id":"XJJ201822","funder_id":"https://openalex.org/F4320324776","funder_display_name":"North University of China"}],"funders":[{"id":"https://openalex.org/F4320324776","display_name":"North University of China","ror":"https://ror.org/047bp1713"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3046957874.pdf","grobid_xml":"https://content.openalex.org/works/W3046957874.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W2004944703","https://openalex.org/W2010635244","https://openalex.org/W2025330030","https://openalex.org/W2093512004","https://openalex.org/W2119717431","https://openalex.org/W2134667345","https://openalex.org/W2332484133","https://openalex.org/W2344154382","https://openalex.org/W2466013994","https://openalex.org/W2519443878","https://openalex.org/W2525493422","https://openalex.org/W2537888770","https://openalex.org/W2592189561","https://openalex.org/W2601549017","https://openalex.org/W2609880341","https://openalex.org/W2769146490","https://openalex.org/W2775668750","https://openalex.org/W2779465872","https://openalex.org/W2793314072","https://openalex.org/W2794034246","https://openalex.org/W2807716280","https://openalex.org/W2905005006","https://openalex.org/W2909661955","https://openalex.org/W2912040660","https://openalex.org/W2915199472","https://openalex.org/W2939623904","https://openalex.org/W2941142339","https://openalex.org/W2949439130","https://openalex.org/W2962695964","https://openalex.org/W2966852417","https://openalex.org/W2969495885","https://openalex.org/W2981797256","https://openalex.org/W2983239080","https://openalex.org/W2989824122","https://openalex.org/W2995646158","https://openalex.org/W3001529749","https://openalex.org/W3002449551","https://openalex.org/W6679640220"],"related_works":["https://openalex.org/W2201050717","https://openalex.org/W1990207062","https://openalex.org/W4319917433","https://openalex.org/W2901858402","https://openalex.org/W2977296457","https://openalex.org/W2101121116","https://openalex.org/W2381334782","https://openalex.org/W2336526268","https://openalex.org/W1595241965","https://openalex.org/W2354812741"],"abstract_inverted_index":{"In":[0],"this":[1,111],"paper,":[2],"an":[3],"improved":[4,38],"interactive":[5],"multiple":[6],"model":[7],"adaptive":[8,85],"strong":[9,86],"tracking":[10,24,87,151],"random":[11,64],"weighted":[12],"cubature":[13],"Kalman":[14],"filter":[15,52,57,88],"(IIMM-ASTRWCKF)":[16],"algorithm":[17,36,55,77,112,148],"is":[18,37,47,78,89],"developed":[19],"to":[20,56,67,91,117,129],"overcome":[21],"the":[22,43,50,63,69,73,76,81,84,93,102,105,108,119,137],"low":[23],"accuracy":[25,74,122,152],"and":[26,97,141],"easy":[27],"divergence":[28],"when":[29],"dealing":[30,143],"with":[31,136,144],"complex":[32],"maneuvering":[33,145,155],"situations.":[34],"The":[35],"in":[39,142,153],"two":[40],"aspects:":[41],"On":[42,107],"one":[44],"hand,":[45,110],"ASTRWCKF":[46],"used":[48],"as":[49],"sub":[51],"of":[53,75,104,123,139],"IMM":[54,124],"different":[58],"motion":[59],"models.":[60],"By":[61],"introducing":[62],"weight":[65,71],"factor":[66,128],"replace":[68],"original":[70],"factor,":[72],"improved.":[79],"At":[80],"same":[82],"time,":[83],"added":[90],"update":[92],"prediction":[94],"covariance":[95,99],"matrix":[96,100],"noise":[98],"for":[101],"stability":[103],"algorithm.":[106],"other":[109],"proposes":[113],"a":[114],"new":[115],"method":[116],"improve":[118],"probability":[120,132],"conversion":[121],"by":[125],"adding":[126],"time-varying":[127],"adjust":[130],"Markov":[131],"transfer":[133],"matrix.":[134],"Compared":[135],"performance":[138],"IMM-CKF":[140],"problems,":[146],"IIMM-ASTRWCKF":[147],"has":[149],"better":[150],"solving":[154],"problem.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}