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径向速度测量在Kalman滤波中的应用
引用本文:王建国,何佩琨,龙腾.径向速度测量在Kalman滤波中的应用[J].北京理工大学学报,2002,22(2):225-227.
作者姓名:王建国  何佩琨  龙腾
作者单位:北京理工大学,电子工程系,北京,100081
基金项目:信息产业部预研基金;;
摘    要:研究一种把径向速度测量引入Kalman滤波的新方法.在分析传感器噪声特性以及测量方程结构的基础上,提出优先处理位置测量数据,然后利用位置矢量的滤波值改进对径向速度测量方程的伪线性表述,从而得到一种序贯处理、伪线性结构的滤波算法.从理论上分析了该算法的稳定性.蒙特卡洛仿真说明该算法不仅克服了推广Kalman滤波(EKF)暂态性能差的缺陷,而且其稳态性能也略优于EKF.

关 键 词:径向速度测量  Kalman滤波  稳定性
文章编号:1001-0645(2002)02-0225-03
收稿时间:7/6/2001 12:00:00 AM
修稿时间:2001年7月6日

Use of Radial Velocity Measurements in Kalman Filter
WANG Jian guo,HE Pei kun and LONG Teng.Use of Radial Velocity Measurements in Kalman Filter[J].Journal of Beijing Institute of Technology(Natural Science Edition),2002,22(2):225-227.
Authors:WANG Jian guo  HE Pei kun and LONG Teng
Institution:Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China
Abstract:A new algorithm is developed to incorporate the radial velocity measurement into Kalman filter. Based on the analysis of sensor noise and measurement equation structure, the pseudo linear formulation of radial velocity measurement equation can be improved after position measurement update and a sequential pseudo linear structure algorithm is obtained. A theoretical analysis is given about its stability. Monte Carlo simulation results show that the new algorithm can not only overcome the shortcomings in the inferior transient performance of exfended Kalman filtering but can also be slightly superior to it during the steady phase.
Keywords:radial velocity measurement  Kalman filter  stability  
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