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GPS驯服中无偏滑动平均滤波算法的研究
引用本文:张杰,周栋明.GPS驯服中无偏滑动平均滤波算法的研究[J].电子学报,2013,41(2):412-416.
作者姓名:张杰  周栋明
作者单位:1. 中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室,湖北武汉430077;中国科学院研究生院,北京100049
2. 中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室,湖北武汉,430077
摘    要: 分析已有GPS驯服中滤波算法的特点,提出了基于GPS的实时频率误差处理及状态估计的无偏滑动平均滤波算法.该方法继承了普通滑动滤波算法低噪声特点,且用线性回归估计补偿了普通滑动滤波算法的偏差,利用该方法滤除频率测量误差中的频率偏差和多通道GPS接收机秒信号(GPS1PPS)的锯齿误差,并预报晶振状态.MATLAB仿真和实际测试结果都证明了无偏滑动滤波算法比普通滑动滤波有效,提高了晶振频率的长期稳定度和准确度,实际系统中恒温晶振OXCO-131的长期频率稳定度的Allan方差提高了约三个数量级,达到3.5E-12/d.

关 键 词:GPS  驯服  数字锁相环  无偏滑动平均滤波  线性回归估计
收稿时间:2012-04-03

Improved Moving Average Filter for GPS Disciplined
ZHANG Jie , ZHOU Dong-ming.Improved Moving Average Filter for GPS Disciplined[J].Acta Electronica Sinica,2013,41(2):412-416.
Authors:ZHANG Jie  ZHOU Dong-ming
Affiliation:1. Institute of Geodesy and Geophysics, Chinese Academic of Sciences, Wuhan, Hubei 430077, China;2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:According to the features of filtering algorithm used in GPS,an improved disciplined method using Global Positioning System one pulse pre-second (GPS1PPS) timing signal is proposed in this paper.This unbiased moving average filtering algorithm can eliminate sawtooth errors of GPS1PPS signal and produce an unbiased evaluation of local clock state by using linear regression estimate.Digital Phase-Locked Loop (DPLL) is used to make GPS1PPS timing signal tracked steady by local clock and combine the short term stability of crystal oscillator and long term stability of GPS1PPS timing signal,which ensure high frequency stability and accuracy of local frequency standard when GPS timing signal is lost.The results of MATLAB simulation and real measurement have proved that this method can improve long stability and accuracy of frequency,and Allan variance of frequency stability of crystal oscillator OXCO-131 pre-day in a real system has been improved 3 orders of magnitudes and reached 3.5E-12.
Keywords:GPS  disciplined technique  digital phase-locked loop  unbiased moving average filter  linear regression estimate
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