|Abstract:||With the development of the multi-frequency GNSS, positioning process using carrier phase observations will be more and more popular especially for high precision positioning. Based on the analysis of the causes and characteristics of GPS cycle slip, an adaptive detection and modification algorithm is proposed using the wavelet threshold de-noising theory. The original double difference of GPS carrier-phase is transformed with wavelet, and the singular values in the high-frequency coefficients are replaced by linear interpolation. Then the signal is reconstructed with the replaced high-frequency coefficients and the original low-frequency parts. The difference between the reconstructed signal and the original one is applied for cycle slip detection. The time and correction value of cycle slip are determined by the modulus maxima of the difference signal. Finally, an experiment was taken to test the method, and it shows that the method is effective for detecting and modifying the cycle slips of minimum value of one cycle, with minimum interval of one epoch. The measurements without cycle slips are processed with an improved Kalman filter to get more accurate positioning results.|
Proceedings of the 2016 International Technical Meeting of The Institute of Navigation
January 25 - 28, 2016
Hyatt Regency Monterey
|Pages:||1024 - 1029|
|Cite this article:||
Gu, Xiaoying, Meng, Fanchen, Tao, Lin, Zhu, Bocheng, "An Improved Algorithm of Real Time Cycle Slip Detection and Determination of Multi-frequency GNSS Measurements Combining Wavelet Transform and Kalman Filter," Proceedings of the 2016 International Technical Meeting of The Institute of Navigation, Monterey, California, January 2016, pp. 1024-1029.
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