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一种改进的UKF滤波算法在BDS/SINS组合导航系统中的应用研究
引用本文:马晓杰,林雪原,孙巧妍,陈祥光. 一种改进的UKF滤波算法在BDS/SINS组合导航系统中的应用研究[J]. 大地测量与地球动力学, 2021, 41(4): 351-356. DOI: 10.14075/j.jgg.2021.04.005
作者姓名:马晓杰  林雪原  孙巧妍  陈祥光
作者单位:烟台南山学院工学院,山东省龙口市大学路12号,265713;烟台南山学院工学院,山东省龙口市大学路12号,265713;北京理工大学化工与环境学院,北京市中关村南大街5号,100081
基金项目:国家自然科学基金;烟台市“双百计划”人才项目
摘    要:将自适应估计原理引入UKF(unscented Kalman filter)算法中,该改进算法可以自适应地调节系统模型信息在导航解中的比重,从而减少滤波器初值偏差和系统模型异常扰动对导航解的影响.将改进的UKF算法应用于BDS/SINS(北斗/捷联惯导)组合导航系统中,仿真结果验证了其有效性,且该算法可提高组合导航系统...

关 键 词:组合导航  改进的UKF算法  自适应估计  BDS

Improved UKF Algorithm for BDS/SINS Integrated Navigation System
MA Xiaojie,LIN Xueyuan,SUN Qiaoyan,CHEN Xiangguang. Improved UKF Algorithm for BDS/SINS Integrated Navigation System[J]. Journal of Geodesy and Geodynamics, 2021, 41(4): 351-356. DOI: 10.14075/j.jgg.2021.04.005
Authors:MA Xiaojie  LIN Xueyuan  SUN Qiaoyan  CHEN Xiangguang
Affiliation:(College of Engineering,Yantai Nanshan University,12 Daxue Road,Longkou 265713,China;School of Chemical Engineering and Environment,Beijing Institute of Technology,5 South-Zhongguancun Street,Beijing 100081,China)
Abstract:We introduce the principle of adaptive estimation into the UKF algorithm to obtain an improved UKF algorithm.This algorithm can adjust the weight of the system model information in the navigation solution adaptively so as to reduce the influence of filter’s initial value deviation and system model abnormal disturbance on navigation solution.By applying the improved UKF algorithm to BDS/SINS integrated navigation,the simulation results not only verify the effectiveness of the improved UKF,but also show that the improved UKF can improve the accuracy of integrated navigation system.
Keywords:integrated navigation  improved UKF algorithm  adaptive estimation  BDS
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