{"id":"https://openalex.org/W3007269017","doi":"https://doi.org/10.1109/icsai48974.2019.9010213","title":"EMD-based Gray Association Algorithm for Group Ballistic Target","display_name":"EMD-based Gray Association Algorithm for Group Ballistic Target","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3007269017","doi":"https://doi.org/10.1109/icsai48974.2019.9010213","mag":"3007269017"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5071809736","display_name":"Huainian Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huainian Zhang","raw_affiliation_strings":["Air Force Early-Warning Academy, Rocket Force Command College, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early-Warning Academy, Rocket Force Command College, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062091694","display_name":"Yan Zhou","orcid":"https://orcid.org/0000-0003-3719-0218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["Air Force Early-Warning Academy, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early-Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008451517","display_name":"Fangsheng Li","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":"Fangsheng Li","raw_affiliation_strings":["National University of Defense Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462123","display_name":"\u041b\u0435\u0439 \u041c\u0430","orcid":"https://orcid.org/0000-0001-6024-3854"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["Rocket Force Command College, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rocket Force Command College, Wuhan, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382479","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0002-0180-5623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["Air Force Early-Warning Academy, Rocket Force Command College, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early-Warning Academy, Rocket Force Command College, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3982,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57154761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"1121","last_page":"1125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9972000122070312,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9972000122070312,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9905999898910522,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/data-association","display_name":"Data association","score":0.6932036876678467},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6654865741729736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6212977170944214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48613473773002625},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.46648314595222473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45694243907928467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4452788829803467},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4393254220485687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43584924936294556},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4243374466896057},{"id":"https://openalex.org/keywords/gray","display_name":"Gray (unit)","score":0.41884270310401917}],"concepts":[{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6932036876678467},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6654865741729736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6212977170944214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48613473773002625},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.46648314595222473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45694243907928467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4452788829803467},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4393254220485687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43584924936294556},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4243374466896057},{"id":"https://openalex.org/C166275286","wikidata":"https://www.wikidata.org/wiki/Q190095","display_name":"Gray (unit)","level":2,"score":0.41884270310401917},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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":11,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2048899775","https://openalex.org/W2357696075","https://openalex.org/W2376576537","https://openalex.org/W2376636010","https://openalex.org/W2390625010","https://openalex.org/W2392095306","https://openalex.org/W2773895715","https://openalex.org/W2790653176","https://openalex.org/W2790874689","https://openalex.org/W2791345769"],"related_works":["https://openalex.org/W2022419910","https://openalex.org/W2808615211","https://openalex.org/W4246259471","https://openalex.org/W4239226046","https://openalex.org/W4246457037","https://openalex.org/W4242705089","https://openalex.org/W659309325","https://openalex.org/W4251930800","https://openalex.org/W1989714207","https://openalex.org/W4254289682"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,20,32,39,53,63,83,100,107,112],"problem":[3],"that":[4,97],"characteristic":[6,50,71],"quantity":[7],"is":[8,36,56,73],"difficult":[9],"to":[10,79,90],"be":[11],"extracted":[12,37],"in":[13,114],"group":[14],"ballistic":[15],"target":[16],"track":[17,33],"association":[18,67,77,105,109],"under":[19],"background":[21],"of":[22,52,62,111],"concentrated":[23],"attack,":[24],"bait":[25],"and":[26,65,103],"interference":[27],"penetration,":[28],"IMF":[29],"matrix":[30,69],"representing":[31],"feature":[34],"information":[35],"from":[38],"measurement":[40],"data":[41,55],"by":[42,75],"using":[43],"empirical":[44],"mode":[45],"decomposition":[46,61],"(EMD)":[47],"method.":[48],"The":[49,93],"vector":[51],"measured":[54],"obtained":[57],"through":[58],"singular":[59],"value":[60],"matrix,":[64],"then":[66],"degree":[68],"between":[70],"vectors":[72],"calculated":[74],"gray":[76,104],"algorithm":[78,113],"further":[80],"judge":[81],"whether":[82],"tracks":[84],"are":[85],"associated":[86],"or":[87],"not":[88],"according":[89],"certain":[91],"rules.":[92],"simulation":[94],"results":[95],"show":[96],"compared":[98],"with":[99],"traditional":[101],"statistics":[102],"algorithm,":[106],"correct":[108],"rate":[110],"this":[115],"paper":[116],"has":[117],"been":[118],"effectively":[119],"improved.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
