摘要
为了提高GPS数据预处理过程中基线解算的精度,文章研究利用多项式拟合法得到Kalman滤波的系统状态方程和转移矩阵,提出利用Kalman滤波算法对三差观测值进行粗差及周跳的修复。实验结果证明Kalman滤波可以对含噪信号进行有效的降噪,经降噪后的信号具有更好的分布。
In order to improve the accuracy of baseline solution in GPS data preprocessing, this paper used polynomial fitting to obtain Kalman state equation and transfer matrix, then proposed to repair the gross error and cycle slip of triple difference by Kalman filter. Experimental result showed that Kalman fil- ter would reduce the noise of GPS signals efficiently with better distribution of the de-noised signals.
出处
《测绘科学》
CSCD
北大核心
2016年第3期171-174,共4页
Science of Surveying and Mapping
关键词
GPS
双差
三差
KALMAN滤波
GPS
double difference
triple difference
Kalman filter
