Strong Contaminated Single Epoch GPS Deformation Signals Extracting and Gross Error Detection

Wavelet theory is efficient as an adequate tool for analyzing single epoch GPS deformation signal. In this paper, wavelet analysis technique on gross error detection and recovery is advanced. Criteria of wavelet function choosing and MALLAT decomposition levels decision are discussed. An effective deformation signal extracting method is proposed, that is wavelet noise reduction technique considering gross error recovery, which combines wavelet multi-resolution gross error detection results. Time position recognizing of gross errors and their repairing performance are realized. In the experiment, compactly supported orthogonal wavelet with short support block is more efficient than the longer one when discerning gross errors, which can obtain more finely analyses. And the shape of discerned gross error of short support wavelet is simpler than that of the longer one. Meanwhile, the time scale is easier to identify.