摘要
分析了周跳发生的原因及其特性,提出了一种周跳探测与修复的新方法。首先对载波相位测量数据进行小波变换,根据小波系数的模极大值点的位置探测出发生周跳的历元;然后根据时间序列分析理论,建立了载波相位测量数据的组合预测模型,并根据模型预测周跳发生时刻的载波相位值,与实际测量值比较确定周跳的大小,从而修复周跳。利用实测的相位数据,验证了方法的可行性与有效性。
This paper analyzed the characteristics of cycle slips, and presented a novel method. Firstly, carried out the wavelet transform and then determined the location of the cycle slip by ascertaining could regarde the point of modulus maximal value of the wavelet coefficients, since regarded the cycle slip as the singular point of the signal. Then proposed a compound prediction model for carrier phase measurements based on time series analysis theory, and estimated the value of carrier phase at the cycle slip epoch by this model. Determine the number of cycle slip through comparing the difference between the predicted and actual value of carrier phase at the cycle slip epoch. Finally, presented test results to demonstrate the feasibility and validity of the method.
出处
《计算机应用研究》
CSCD
北大核心
2009年第7期2487-2488,2491,共3页
Application Research of Computers
基金
国家"863"计划资助项目(2006AA06E222)
国家教育部新世纪优秀人才支持计划资助项目(NCET-05-0804)
关键词
全球定位系统
载波相位
周跳
小波变换
时间序列
global positioning system（ GPS）
carrier phase
cycle slip
wavelet transform
time series
