基于SVD分量包络方法的北斗周跳探测研究

Based on SVD components envelope method of BDS cycle slip detection research

针对北斗观测数据中存在的小周跳难以探测的问题,提出了基于SVD分量包络的周跳探测方法。首先利用伪距和相位相结合的方法构造出周跳检验量,然后对周跳检验量构建Hankel矩阵进行奇异值分解,得到包含突变信息的子空间。再对子空间逆变换得到的分量信号进行包络分析。实验结果表明,利用奇异值处理去噪后,进行包络变换能正确探测出小周跳。

Focusing on the problem that beidou observation data including small cycle slip can hardly detected, singular value decomposition （SVD） components envelope detection method is proposed. First using the method of pseudorange and phase combination to construct cycle test quantity, and then based on SVD for cycle slip test quantity by building the Hankel matrix, and get the subspace containing mutation information. Then the subspace component signal is obtained by inverse transformation envelope analysis. The experimental results show that,After using SVD denoising, envelope transform can correctly detect the small cycle slip.