@inproceedings{0137e1d08d7546cf9d531b485c156a72,
title = "EMD-based detection, identification and adaptation of cycle-slip for GNSS relative positioning",
abstract = "Cycle-slip causes discontinuous integer cycle jumps in phase measurements, detecting and correcting cycle-slip is an important issue for GNSS relative positioning. In this paper, a novel method is proposed to deal with the problem based on empirical mode decomposition (EMD) method. The proposed method consists of three steps. Firstly, a time differentiated GNSS phase signal 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 removing the trend signal and low frequency IMFs from the original signal. Finally, an edge detection operator is applied on the {"}cycle-slip signal{"} to detect and repair the cycle-slip. Experiments verified the success rate of the algorithm up to 100 % (15° mask angle) in various simulated scenarios. Several tests were performed based on real data over multiple days, and the results confirm that the proposed algorithm is applicable for relative positioning.",
keywords = "Cycle-slip, EMD, GNSS",
author = "Lin, {Shiou Gwo} and Chen, {Shih Yin} and Wu, {Shuen De} and Mang, {Ou Yang} and Yu, {Feng Chi}",
year = "2012",
language = "English",
isbn = "9781622769742",
series = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",
pages = "2145--2150",
booktitle = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",
note = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012 ; Conference date: 26-11-2012 Through 30-11-2012",
}