典型文献
Improved adaptively robust estimation algorithm for GNSS spoofer considering continuous observation error
文献摘要：
Once the spoofer has controlled the navigation sys-tem of unmanned aerial vehicle(UAV),it is hard to effectively control the error convergence to meet the threshold condition only by adjusting parameters of estimation if estimation of the spoofer on UAV has continuous observation error.Aiming at this problem,the influence of the spoofer's state estimation error on spoofing effect and error convergence conditions is theoretically analyzed,and an improved adaptively robust estimation algo-rithm suitable for steady-state linear quadratic estimator is pro-posed.It enables the spoofer's estimator to reliably estimate UAV status in real time,improves the robustness of the estima-tor in responding to observation errors,and accelerates the con-vergence time of error control.Simulation experiments show that the mean value of normalized innovation squared(NIS)is reduced by 88.5％,and the convergence time of NIS value is reduced by 76.3％,the convergence time of true trajectory error of UAV is reduced by 42.3％,the convergence time of estimated trajectory error of UAV is reduced by 67.4％,the convergence time of estimated trajectory error of the spoofer is reduced by 33.7％,and the convergence time of broadcast trajectory error of the spoofer is reduced by 54.8％when the improved algorithm is used.The improved algorithm can make UAV deviate from pre-set trajectory to spoofing trajectory more effectively and more subtly.
文献关键词：
中图分类号：
作者姓名：
GAO Yangjun;LI Guangyun;LYU Zhiwei;ZHANG Lundong;LI Zhongpan
作者机构：
Institute of Geospatial Information,PLA Strategic Support Force Information Engineering University,Zhengzhou 450001,China;State Key Laboratory of Geo-Information Engineering,Xi'an 710000,China;Unit 96944 of the PLA,Beijing 100000,China
文献出处：
引用格式：
[1]GAO Yangjun;LI Guangyun;LYU Zhiwei;ZHANG Lundong;LI Zhongpan-.Improved adaptively robust estimation algorithm for GNSS spoofer considering continuous observation error)[J].系统工程与电子技术（英文版）,2022(05):1237-1248
A类：
spoofer
B类：
Improved,adaptively,estimation,algorithm,GNSS,considering,continuous,observation,Once,has,controlled,navigation,sys,tem,unmanned,aerial,vehicle,UAV,hard,effectively,convergence,meet,threshold,only,by,adjusting,parameters,if,Aiming,this,problem,influence,state,spoofing,conditions,theoretically,analyzed,improved,suitable,steady,linear,quadratic,estimator,posed,It,enables,reliably,status,real,improves,robustness,responding,errors,accelerates,Simulation,experiments,show,that,mean,value,normalized,innovation,squared,NIS,reduced,true,trajectory,estimated,broadcast,when,used,can,make,deviate,from,pre,set,more,subtly
AB值：
0.398042
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