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改进粒子滤波算法在组合导航中的应用
引用本文:赵梅,张三同,朱刚.改进粒子滤波算法在组合导航中的应用[J].中国公路学报,2007,20(2):108-112.
作者姓名:赵梅  张三同  朱刚
作者单位:北京交通大学,电子信息工程学院,北京,100044
摘    要:为了提高组合导航定位系统的定位精度和可靠性,分别对扩展卡尔曼滤波(EKF)、粒子滤波(PF)和U卡尔曼滤波(UKF)3种算法进行了分析。通过分析3种算法各自的特点,将PF算法和UKF算法的优点相结合,提出了一种新的粒子滤波算法——U粒子滤波(UPF)算法,并将其应用于GPS/DR组合导航系统中。通过对UPF算法与PF算法在GPS/DR组合导航系统中的仿真研究比较,进一步证实了UPF算法的可行性及计算的精确性。

关 键 词:交通工程  GPS/DR组合导航  仿真  改进粒子滤波算法  U卡尔曼滤波
文章编号:1001-7372(2007)02-0108-05
收稿时间:2006-06-06
修稿时间:2006年6月6日

Application of Improved Particle Filter Algorithm to Integrated Navigation
ZHAO Mei,ZHANG San-tong,ZHU Gang.Application of Improved Particle Filter Algorithm to Integrated Navigation[J].China Journal of Highway and Transport,2007,20(2):108-112.
Authors:ZHAO Mei  ZHANG San-tong  ZHU Gang
Institution:School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Abstract:In order to improve the positioning precision and reliability,extended Kalman filter(EKF),particle filter(PF) and unscented Kalman filter(UKF) algorithms were analyzed respectively.A new particle filter algorithm called unscented particle filter(UPF) algorithm was given based on the analysis of each algorithm's characteristic and the combination of PF's and UKF's advantages,and it was applied to GPS/DR integrated navigation system.Finally,the feasibility and calculation accuracy of UPF algorithm were proved with a simulation and comparison of UPF and PF algorithms in GPS/DR integrated navigation system.
Keywords:traffic engineering  GPS/DR integrated navigation  simulation  improved particle filter algorithm  unscented Kalman filter
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