| Summary: | 碩士 === 國立臺灣海洋大學 === 通訊與導航工程學系 === 101 === Cycle slip can cause discontinuous integer cycle jumps in phase measurements, it can lead to significant positioning errors, detecting and correcting cycle-slip is an important issue for GNSS relative positioning. In this paper, Multiscale Hilbert-Huang Transform (M-HHT) method is proposed to deal with the problem. The proposed method consists of three steps. Firstly, a time-difference GNSS phase measurement is decomposed into a trend signal and a finite number of intrinsic mode functions (IMFs) by EMD. Secondly, a “cycle-slip signal” is obtained by M-HHT. Finally, an edge detection operator is applied on the “cycle-slip signal” to detect and repair the cycle-slip. The experimental results show that the M-HHT method has better performance than the conventional EMD-based filters, and the success rate of cycle slip detection is up to 100 % (15° mask angle) in various simulated scenarios and real data over multiple days. The results confirm that the proposed algorithm is applicable for relative positioning.
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