GPS/BDS组合系统中粒子滤波算法-《集美大学学报（自然科学版）》

文章信息/Info

Author(s):: REN Na; ZHENG Jia-chun; ZHANG Xing-gu; (1.Navigation Institute,Jimei University，Xiamen 361021，China；2.School of Information Engineering,Jimei University,Xiamen 361021,China)

Keywords:: GPS; BDS; combined system; particle filtering; Gaussian particle filtering

摘要:: 为了解决传统单一卫星导航系统存在的可靠性低和定位精度差等问题，在分析单系统导航定位原理及GPS/BDS组合导航定位解算的基础上，引入标准粒子滤波（PF）算法和高斯粒子滤波（GHPF）算法对组合系统进行定位解算，并对不同滤波算法做出了比较和分析。仿真结果表明，粒子滤波的滤波效果优于扩展卡尔曼滤波算法。

Abstract:: In order to solve the issues of the low reliability and poor precision of the traditional single navigation system,based on the analysis of single navigation system positioning principle and combined positioning calculating of GPS and Beidou Satellite Navigation System (BDS), this paper puts forward the application of the standard particle filter (PF) algorithm and the Gaussian particle filter (GHPF) in the GPS/BDS combined system, and makes comparison and analysis belween different filter algorithms.The simulation results show that the particle filter filtering algorithm is better than that the extended kalman filtering algorithm.