{"id":"https://openalex.org/W2064919511","doi":"https://doi.org/10.1109/icalip.2014.7009856","title":"A novel particle filtering algorithm for the noncooperative target tracking in general aviation","display_name":"A novel particle filtering algorithm for the noncooperative target tracking in general aviation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2064919511","doi":"https://doi.org/10.1109/icalip.2014.7009856","mag":"2064919511"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","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/A5039358911","display_name":"Liangqun Li","orcid":"https://orcid.org/0000-0002-8063-9175"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Liang-qun","raw_affiliation_strings":["ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong Province, P.R. China","ATR Key Laboratory, Shenzhen University Shenzhen, Guangdong Province, P.R. China"],"affiliations":[{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong Province, P.R. China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University Shenzhen, Guangdong Province, P.R. China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080753841","display_name":"Chao Hou","orcid":"https://orcid.org/0000-0003-0692-7328"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hou Chao","raw_affiliation_strings":["ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong Province, P.R. China","ATR Key Laboratory, Shenzhen University Shenzhen, Guangdong Province, P.R. China"],"affiliations":[{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong Province, P.R. China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University Shenzhen, Guangdong Province, P.R. China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085569113","display_name":"Guoliang Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng Guo-liang","raw_affiliation_strings":["ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong Province, P.R. China","ATR Key Laboratory, Shenzhen University Shenzhen, Guangdong Province, P.R. China"],"affiliations":[{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong Province, P.R. China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University Shenzhen, Guangdong Province, P.R. China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039358911"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09369944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"561","last_page":"564"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9970999956130981,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.7461181879043579},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.7366389632225037},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6828563213348389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6788492202758789},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.6246455311775208},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.61623215675354},{"id":"https://openalex.org/keywords/track-before-detect","display_name":"Track-before-detect","score":0.5875000953674316},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5729491114616394},{"id":"https://openalex.org/keywords/air-traffic-control","display_name":"Air traffic control","score":0.49414899945259094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46656954288482666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4260314702987671},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.41745007038116455},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.41227710247039795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.373099684715271},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34867674112319946},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.34519991278648376},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.3347349166870117},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.20463323593139648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16234451532363892},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12747207283973694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12606292963027954}],"concepts":[{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.7461181879043579},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.7366389632225037},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6828563213348389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6788492202758789},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.6246455311775208},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.61623215675354},{"id":"https://openalex.org/C173028925","wikidata":"https://www.wikidata.org/wiki/Q7831461","display_name":"Track-before-detect","level":4,"score":0.5875000953674316},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5729491114616394},{"id":"https://openalex.org/C166961238","wikidata":"https://www.wikidata.org/wiki/Q221395","display_name":"Air traffic control","level":2,"score":0.49414899945259094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46656954288482666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4260314702987671},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.41745007038116455},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.41227710247039795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.373099684715271},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34867674112319946},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.34519991278648376},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.3347349166870117},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.20463323593139648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16234451532363892},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12747207283973694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12606292963027954},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icalip.2014.7009856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","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":11,"referenced_works":["https://openalex.org/W1496516112","https://openalex.org/W1986007625","https://openalex.org/W1993910476","https://openalex.org/W2004502175","https://openalex.org/W2019928247","https://openalex.org/W2094675639","https://openalex.org/W2127046325","https://openalex.org/W2149546962","https://openalex.org/W2352257685","https://openalex.org/W3151323354","https://openalex.org/W6674205822"],"related_works":["https://openalex.org/W2777039476","https://openalex.org/W2999948534","https://openalex.org/W2556174549","https://openalex.org/W2169003475","https://openalex.org/W2550588817","https://openalex.org/W3156697700","https://openalex.org/W3035724330","https://openalex.org/W4381745504","https://openalex.org/W3151748387","https://openalex.org/W1971552868"],"abstract_inverted_index":{"For":[0],"the":[1,26,31,38,43,49,56,61,73,78,91,96,107],"problem":[2],"of":[3,77],"noncooperative":[4,39,79],"target":[5,27,40],"tracking":[6,75],"in":[7,22,66],"General":[8],"Aviation's":[9],"air":[10],"traffic":[11],"control":[12],"system,":[13],"a":[14],"novel":[15],"particle":[16],"filtering":[17],"algorithm":[18,98],"is":[19,34,52,88,99,104],"proposed.":[20,89],"Firstly,":[21],"order":[23,67],"to":[24,36,68],"obtain":[25,72],"azimuth":[28,58],"information":[29,59,76],"accurately,":[30],"Infrared":[32,57],"sensor":[33],"inducted":[35],"search/track":[37],"by":[41,54],"using":[42],"radar":[44,62],"track":[45,63,70],"information,":[46],"and":[47,60,71,101],"then":[48],"new":[50],"measurement":[51],"reconstructed":[53],"utilizing":[55],"information.":[64],"Secondly,":[65],"adaptively":[69],"3-D":[74],"target,":[80],"an":[81],"importance":[82],"density":[83],"based":[84],"on":[85],"maneuver":[86],"index":[87],"Finally,":[90],"simulation":[92],"results":[93],"show":[94],"that":[95],"proposed":[97],"effective":[100],"its":[102],"performance":[103],"superiority":[105],"over":[106],"Interacting":[108],"Multiple":[109],"Model":[110],"method":[111],"(IMM).":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}