{"id":"https://openalex.org/W3120590835","doi":"https://doi.org/10.1109/cdc42340.2020.9303747","title":"Sequential Coordinates Conversion and Decoupled Linear Tracking for Airborne AESA Radars","display_name":"Sequential Coordinates Conversion and Decoupled Linear Tracking for Airborne AESA Radars","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3120590835","doi":"https://doi.org/10.1109/cdc42340.2020.9303747","mag":"3120590835"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9303747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","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/A5079960107","display_name":"Bo-Young Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bo-Young Jung","raw_affiliation_strings":["School of Mechanical and Control Engineering, Handong Global University, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Control Engineering, Handong Global University, Pohang, South Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041392259","display_name":"Dahye Ham","orcid":null},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dahye Ham","raw_affiliation_strings":["School of Mechanical and Control Engineering, Handong Global University, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Control Engineering, Handong Global University, Pohang, South Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073540727","display_name":"Won\u2010Sang Ra","orcid":"https://orcid.org/0000-0002-4396-7030"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Sang Ra","raw_affiliation_strings":["School of Mechanical and Control Engineering, Handong Global University, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Control Engineering, Handong Global University, Pohang, South Korea","institution_ids":["https://openalex.org/I113825674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113825674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1954143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2955","last_page":"2960"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9965000152587891,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9959999918937683,"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/radar-tracker","display_name":"Radar tracker","score":0.7660935521125793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417354941368103},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.621013343334198},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5879467725753784},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5716874599456787},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4984171390533447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4866662621498108},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.48372653126716614},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.4714043140411377},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4609452188014984},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.46067675948143005},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44233161211013794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39113157987594604},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35156387090682983},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3500649929046631},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.3413926959037781},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.2508125901222229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22419357299804688},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08340582251548767}],"concepts":[{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.7660935521125793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417354941368103},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.621013343334198},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5879467725753784},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5716874599456787},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4984171390533447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4866662621498108},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.48372653126716614},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.4714043140411377},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4609452188014984},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.46067675948143005},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44233161211013794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39113157987594604},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35156387090682983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3500649929046631},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.3413926959037781},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2508125901222229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22419357299804688},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08340582251548767},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc42340.2020.9303747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","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/W1998981412","https://openalex.org/W2011418118","https://openalex.org/W2027727222","https://openalex.org/W2044666922","https://openalex.org/W2058130919","https://openalex.org/W2083885339","https://openalex.org/W2094148411","https://openalex.org/W2113908741","https://openalex.org/W2114182140","https://openalex.org/W2162419158","https://openalex.org/W2627013164"],"related_works":["https://openalex.org/W2380612839","https://openalex.org/W3151342408","https://openalex.org/W2056268060","https://openalex.org/W191136024","https://openalex.org/W1567854708","https://openalex.org/W1873103587","https://openalex.org/W1649624904","https://openalex.org/W2366430195","https://openalex.org/W1971552868","https://openalex.org/W2372020031"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,27,35,38,49,56,65,74,77,87,93,110,116,119,125,127,144,148],"problem":[5],"of":[6,30,76,92,109,118,147],"tracking":[7,51,107,129],"a":[8,31,43,66,104,138],"maneuvering":[9],"target":[10,23,50,106],"using":[11,86],"an":[12],"airborne":[13],"electronically":[14],"scanned":[15],"array":[16],"radar.":[17],"Conventional":[18],"target-tracking":[19],"filters":[20],"produce":[21],"biased":[22],"state":[24,68],"estimates":[25],"because":[26],"angular":[28],"motion":[29],"radar":[32,94],"platform":[33],"complicates":[34],"cross-correlations":[36],"between":[37],"converted":[39],"measurements":[40],"(CMs).":[41],"As":[42],"practical":[44],"alternative":[45],"to":[46,103,136],"this":[47],"issue,":[48],"filter":[52,130],"is":[53,71,131,151],"designed":[54],"in":[55,79,124],"predicted":[57],"line-of-sight":[58],"Cartesian":[59],"coordinate":[60],"system":[61],"(PLCCS).":[62],"Provided":[63],"that":[64],"priori":[67],"estimation":[69],"error":[70],"small":[72],"enough,":[73],"statistics":[75],"CMs":[78],"PLCCS":[80],"can":[81],"be":[82],"approximated":[83],"accurately":[84],"despite":[85],"first":[88],"and":[89],"second":[90],"moments":[91],"measurement":[95],"noises":[96],"only.":[97],"The":[98],"resulting":[99],"debiasing":[100],"term":[101],"leads":[102],"satisfactory":[105],"performance":[108,146],"proposed":[111,128],"filter.":[112],"Furthermore,":[113],"by":[114],"exploiting":[115],"diagonality":[117],"noise":[120],"covariance":[121],"matrix":[122],"derived":[123],"PLCCS,":[126],"decoupled":[132],"into":[133],"each":[134],"axis":[135],"induce":[137],"suitable":[139],"real-time":[140],"implementation.":[141],"Through":[142],"simulations,":[143],"enhanced":[145],"suggested":[149],"method":[150],"demonstrated.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
