{"id":"https://openalex.org/W2039605290","doi":"https://doi.org/10.1080/00207170701644132","title":"Manoeuvring target tracking with coordinated-turn motion using stochastic non-linear filter","display_name":"Manoeuvring target tracking with coordinated-turn motion using stochastic non-linear filter","publication_year":2008,"publication_date":"2008-06-21","ids":{"openalex":"https://openalex.org/W2039605290","doi":"https://doi.org/10.1080/00207170701644132","mag":"2039605290"},"language":"en","primary_location":{"id":"doi:10.1080/00207170701644132","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207170701644132","pdf_url":null,"source":{"id":"https://openalex.org/S88061139","display_name":"International Journal of Control","issn_l":"0020-7179","issn":["0020-7179","1366-5820"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Control","raw_type":"journal-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/A5009274634","display_name":"Tarun Kumar Rawat","orcid":null},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"T. K. Rawat","raw_affiliation_strings":["Netaji Subhas Institute of Technology\u2013Dwarka , Sector 3, New Delhi 110075, India"],"affiliations":[{"raw_affiliation_string":"Netaji Subhas Institute of Technology\u2013Dwarka , Sector 3, New Delhi 110075, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074650679","display_name":"Harish Parthasarathy","orcid":"https://orcid.org/0000-0003-4584-2503"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H. Parthasarathy","raw_affiliation_strings":["Netaji Subhas Institute of Technology\u2013Dwarka , Sector 3, New Delhi 110075, India"],"affiliations":[{"raw_affiliation_string":"Netaji Subhas Institute of Technology\u2013Dwarka , Sector 3, New Delhi 110075, India","institution_ids":["https://openalex.org/I36090812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009274634"],"corresponding_institution_ids":["https://openalex.org/I36090812"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07291394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"81","issue":"7","first_page":"1102","last_page":"1113"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9919999837875366,"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/mathematics","display_name":"Mathematics","score":0.6364204287528992},{"id":"https://openalex.org/keywords/stochastic-differential-equation","display_name":"Stochastic differential equation","score":0.6318363547325134},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.5468487739562988},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5363588929176331},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5224744081497192},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.49121469259262085},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.4778958559036255},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4709666073322296},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46655553579330444},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36282235383987427},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.26071393489837646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19163447618484497},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09593203663825989}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6364204287528992},{"id":"https://openalex.org/C51955184","wikidata":"https://www.wikidata.org/wiki/Q1545585","display_name":"Stochastic differential equation","level":2,"score":0.6318363547325134},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.5468487739562988},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5363588929176331},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5224744081497192},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.49121469259262085},{"id":"https://openalex.org/C112401455","wikidata":"https://www.wikidata.org/wiki/Q178036","display_name":"Brownian motion","level":2,"score":0.4778958559036255},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4709666073322296},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46655553579330444},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36282235383987427},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.26071393489837646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19163447618484497},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09593203663825989},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207170701644132","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207170701644132","pdf_url":null,"source":{"id":"https://openalex.org/S88061139","display_name":"International Journal of Control","issn_l":"0020-7179","issn":["0020-7179","1366-5820"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1568122762","https://openalex.org/W1575104486","https://openalex.org/W1646998587","https://openalex.org/W1984349826","https://openalex.org/W2002418743","https://openalex.org/W2024747986","https://openalex.org/W2028565059","https://openalex.org/W2028631419","https://openalex.org/W2035113894","https://openalex.org/W2079015869","https://openalex.org/W2083885339","https://openalex.org/W2098613108","https://openalex.org/W2113908741","https://openalex.org/W2120717581","https://openalex.org/W2121990344","https://openalex.org/W2129078811","https://openalex.org/W2150546926","https://openalex.org/W2160337655","https://openalex.org/W2167926355","https://openalex.org/W2786357982","https://openalex.org/W4231021340"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2799209613","https://openalex.org/W1971388572","https://openalex.org/W2119732617"],"abstract_inverted_index":{"Allowing":[0],"for":[1,24,123,222,261,269,286,314],"perturbations":[2,33,93],"in":[3,12,34,94,294,323,363],"speed":[4,62,95],"and":[5,39,63,82,96,107,121,217,301],"turn":[6,15,26,64,97,102,302],"rate":[7,98,303],"of":[8,78,91,104,118,127,139,149,181,190,194,200,204,232,242,272,278,289,298,304,330,337,358],"a":[9,13,17,218,331],"target":[10,67],"moving":[11,166],"coordinated":[14,25,101],"obeys":[16],"non-linear":[18,202,235],"stochastic":[19,110,133,154],"differential":[20,134,155],"equation.":[21],"Existing":[22],"algorithms":[23],"tracking":[27],"avoid":[28],"this":[29,86,177,205,364],"problem":[30],"by":[31,114,164,250],"ignoring":[32],"the":[35,61,79,89,92,100,105,109,116,125,128,132,137,140,146,150,160,165,169,173,179,182,188,191,195,201,210,215,223,228,233,240,251,267,270,273,279,284,287,290,305,315,324,328,335,343,356],"continuous":[36],"time":[37],"model":[38,48,156,184],"adding":[40],"process":[41],"noise":[42],"only":[43,168],"after":[44],"discretisation.":[45],"The":[46,66,198,230,253],"dynamic":[47],"used":[49],"here":[50],"adds":[51],"small":[52],"perturbations,":[53],"modelled":[54],"as":[55],"independent":[56],"Brownian":[57],"motion":[58,103],"processes,":[59],"to":[60,70,245,345,354],"rate.":[65],"state":[68,126,141,291],"is":[69,112,185,207,237,258,266],"be":[71],"recursively":[72],"estimated":[73],"from":[74],"noisy":[75],"discrete-time":[76],"measurements":[77],"target's":[80],"range":[81],"bearing.":[83],"In":[84],"particular,":[85],"paper":[87,206],"examines":[88],"effect":[90,162,248],"on":[99,187,239],"aircraft,":[106],"subsequently":[108],"algorithm":[111],"developed":[113,208,362],"deriving":[115],"evolutions":[117,285],"conditional":[119,224,274],"means":[120],"variances":[122],"estimating":[124],"aircraft.":[129,252,307],"By":[130],"linearizing":[131],"equations":[135,310],"about":[136],"mean":[138,147],"vector":[142],"using":[143,209],"first-order":[144,152],"approximation,":[145],"trajectory":[148,171],"resulting":[151],"approximated":[153],"does":[157],"not":[158,259,312,321],"preserve":[159,246],"perturbation":[161,174,247],"felt":[163,249],"target;":[167],"variance":[170],"includes":[172],"effect.":[175],"For":[176],"reason,":[178],"effectiveness":[180,231],"perturbed":[183],"examined":[186,238],"basis":[189,241],"second-order":[192,234],"approximations":[193,344],"system":[196],"non-linearity.":[197],"theory":[199,361],"filter":[203,236],"Kolmogorov":[211,254,280],"forward":[212,255],"equation":[213,221,268],"\u2018between":[214],"observation\u2019":[216],"functional":[219],"difference":[220],"probability":[225,275],"density":[226],"\u2018at":[227],"observation\u2019.":[229],"its":[243],"ability":[244],"equation,":[256,281],"however,":[257],"appropriate":[260,313],"numerical":[262,316],"simulations,":[263,317],"since":[264,318],"it":[265],"evolution":[271,329,348],"density.":[276],"Instead":[277],"one":[282],"derives":[283],"moments":[288],"vector,":[292],"which":[293],"our":[295],"case":[296],"consists":[297],"positions,":[299],"velocities":[300],"manoeuvring":[306],"Even":[308],"these":[309,346],"are":[311,320,352],"they":[319],"closed":[322],"sense":[325],"that":[326],"computing":[327],"given":[332],"moment":[333,347],"involves":[334],"knowledge":[336],"higher-order":[338],"moments.":[339],"Hence":[340],"we":[341],"consider":[342],"equations.":[349],"Simulation":[350],"results":[351],"introduced":[353],"demonstrate":[355],"usefulness":[357],"an":[359],"analytic":[360],"paper.":[365]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
