基于小波变换的卡尔曼滤波卫星授时方法  

Kalman Filtering in Satellite Time Transfer Based on Wavelet Transform

作　　者：李罡[1] 吕晶[1] 常江[1] 李广侠[1] 

机构地区：[1]解放军理工大学通信工程学院卫星重点实验室,南京210007

出　　处：《系统仿真学报》2009年第18期5824-5827,共4页Journal of System Simulation

基　　金：国家"863"项目发展基金资助项目(2008AA12Z307)

摘　　要：为了提高RNSS授时精度,提出了采用基于小波变换的卡尔曼滤波算法对用户时钟钟差,钟漂及老化率进行估计,预测出了用户时间与系统时间的差值并实时调整采样时刻的闭环授时方法。建立了用户时钟仿真模型和观测误差仿真模型,用STK软件辅助产生卫星的实时三维位置和速度,对提出的方法在某混合轨道导航系统下进行了仿真,结果表明所提出的方法有效地提高了授时精度,并保持较高的稳定度。In order to improve the accuracy of time transfer of RNSS （radio navigation satellite system）, a time transfer method of closed loop was proposed. An algorithm of Kalmanfiltering based on wavelet transform was used to estimate the clock offset, clock shifting and clock aging rate, predict and adjust the clock bias between user time and system time at the next sampling time. User clock model and observation error model were set up and each satellite＇s real-time position and velocily in three dimensions were generated by STK. The method proposed was simulated. The result demonstrates that the method can improve the accuracy of time transfer and keep high stability.

关 键 词：卫星授时 闭环 小波变换 卡尔曼滤波 

分 类 号：P228.9[天文地球—大地测量学与测量工程]