CHI Chuan-guo, JIANG Di, HUANG Guo-yong, et al. Application of morphological filtering in single-frequency cycle-slip detection[J]. 2018, 37(3): 157-160.
In order to solve the problem of Beidou cycle slip detection during Beidou navigation process
a method based on a morphological filtering and singular value decomposition( SVD) for cycle slip detection is proposed.Phase reduce false distance law is used to construct the cycle slip to be original cycle slip signal. Construct the Hankel matrix and the SVD decomposition of original signals is carried out
the component signals with different resolutions are obtained. Morphological filtering of component signals is carried out
In order to filter out noise
highlight the purpose of cycle slip characteristics. The kurtosis criterion is used to select the component signals that containing high kurtosis value to reconstruct the signals. The results from the experiments show that the method can be accurate to small cycle slip detection
effectively improve the precision of cycle slip detection.