{"id":"https://openalex.org/W2053674524","doi":"https://doi.org/10.1109/newcas.2012.6328970","title":"An effective target tracking algorithm with anti-RGPO ability","display_name":"An effective target tracking algorithm with anti-RGPO ability","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2053674524","doi":"https://doi.org/10.1109/newcas.2012.6328970","mag":"2053674524"},"language":"en","primary_location":{"id":"doi:10.1109/newcas.2012.6328970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas.2012.6328970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International NEWCAS Conference","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/A5018355936","display_name":"Ting Cheng","orcid":"https://orcid.org/0000-0003-1922-8083"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Cheng","raw_affiliation_strings":["Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China","Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China, 611731"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China, 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086321095","display_name":"Zishu He","orcid":"https://orcid.org/0000-0003-4491-8414"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zishu He","raw_affiliation_strings":["Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China","Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China, 611731"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China, 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071251577","display_name":"Yaxing Li","orcid":"https://orcid.org/0009-0008-5666-0709"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxing Li","raw_affiliation_strings":["Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China","Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China, 611731"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Department of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China, 611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018355936"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.10384362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"117","last_page":"120"},"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":0.9987999796867371,"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":0.9987999796867371,"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":0.9517999887466431,"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":0.9327999949455261,"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/tracking","display_name":"Tracking (education)","score":0.7930284738540649},{"id":"https://openalex.org/keywords/jamming","display_name":"Jamming","score":0.7593062520027161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002787351608276},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5636282563209534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5135715007781982},{"id":"https://openalex.org/keywords/combing","display_name":"Combing","score":0.4926484227180481},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4923640489578247},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45627325773239136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4539910554885864},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4191867709159851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2968803644180298},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.10390353202819824}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7930284738540649},{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.7593062520027161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002787351608276},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5636282563209534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5135715007781982},{"id":"https://openalex.org/C2778952367","wikidata":"https://www.wikidata.org/wiki/Q3491532","display_name":"Combing","level":2,"score":0.4926484227180481},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4923640489578247},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45627325773239136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4539910554885864},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4191867709159851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2968803644180298},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.10390353202819824},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas.2012.6328970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas.2012.6328970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International NEWCAS Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W634029993","https://openalex.org/W1966142636","https://openalex.org/W1991731396","https://openalex.org/W2039306215","https://openalex.org/W2115080969","https://openalex.org/W2137654406","https://openalex.org/W2387107580","https://openalex.org/W2571050459","https://openalex.org/W3187867541"],"related_works":["https://openalex.org/W2382950503","https://openalex.org/W2374316087","https://openalex.org/W2351264995","https://openalex.org/W2553357593","https://openalex.org/W337130175","https://openalex.org/W2380612839","https://openalex.org/W1567854708","https://openalex.org/W2394397806","https://openalex.org/W2653893021","https://openalex.org/W4235384131"],"abstract_inverted_index":{"To":[0],"deal":[1],"with":[2,15,31],"target":[3,24,30,113],"tracking":[4,13,105,111,120],"in":[5,71,114],"range":[6],"gate":[7],"pull":[8],"off":[9],"(RGPO)":[10],"jamming,":[11],"a":[12,42],"algorithm":[14,106],"anti-RGPO":[16],"ability":[17],"is":[18,35,45,60,66,80,91],"proposed.":[19],"The":[20],"characteristics":[21],"that":[22,75,103],"false":[23],"will":[25],"fall":[26],"behind":[27],"the":[28,48,68,72,77,95,104,119],"true":[29],"higher":[32],"observed":[33],"SNR":[34],"introduced":[36],"into":[37],"conventional":[38],"test":[39,44,52,79],"method,":[40],"and":[41,53,117],"modified":[43,51,78],"given.":[46],"Combing":[47],"result":[49],"of":[50,112],"2/3":[54],"logic":[55],"test,":[56],"whether":[57],"RGPO":[58,64,98],"exists":[59],"finally":[61],"decided.":[62],"If":[63],"jamming":[65],"discriminated,":[67],"farther":[69],"measurement":[70,73],"pair":[74],"passed":[76],"deleted":[81],"to":[82,93],"counter":[83],"RGPO.":[84],"Conventional":[85],"probabilistic":[86],"data":[87],"association":[88],"filter":[89],"(PDAF)":[90],"used":[92],"process":[94],"measurements":[96],"without":[97],"jamming.":[99],"Simulation":[100],"results":[101],"demonstrate":[102],"can":[107],"keep":[108],"high":[109],"precision":[110],"RPGO":[115],"environment":[116],"decrease":[118],"drop":[121],"rate":[122],"effectively.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}