Next Article in Journal
Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior
Previous Article in Journal
Atomic Clock Performance Assessment of BeiDou-3 Basic System with the Noise Analysis of Orbit Determination and Time Synchronization
Previous Article in Special Issue
Estimation of the Antenna Phase Center Correction Model for the BeiDou-3 MEO Satellites
Open AccessArticle

A New Fuzzy-Cluster-Based Cycle-Slip Detection Method for GPS Single-Frequency Observation

1
GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
School of Electronic Engineering, Beihang University, NO. 37 Academic Road, Beijing 100083, China
3
Shanxi Key Laboratory of Integrated and Intelligent Navigation, Xi’an 710068, China
4
Xi’an Research Institute of Navigation Technology, Xi’an 710068, China
*
Authors to whom correspondence should be addressed.
Remote Sens. 2019, 11(24), 2896; https://doi.org/10.3390/rs11242896
Received: 19 October 2019 / Revised: 25 November 2019 / Accepted: 29 November 2019 / Published: 4 December 2019
(This article belongs to the Special Issue Global Navigation Satellite Systems for Earth Observing System)
The development of low-cost, small, modular receivers and their application in diverse scenarios with complex data quality has increased the requirements of single-frequency carrier-phase data preprocessing in real time. Different methods have been developed, but successful detection is not always ensured. The issue is crucial for high-precision positioning with Global Positioning System (GPS). Aiming at a high detection rate and low false-alarm rate, we propose a new cycle-slip detection method based on fuzzy-cluster. It consists of two steps. The first is identification of the epoch when cycle slips appear using Chi-square test based on time-differenced observations. The second is identification of the satellite which suffers from cycle slips using the fuzzy-cluster algorithm. To verify the performance of the proposed method, we compared it to a current robust method using real single-frequency data with simulated cycle slips. Results indicate that the proposed method outperforms the robust estimation method, with a higher correct-detection rate and lower undetection rate. As the number of satellites simulated with cycle slips increases, the correct-detection rate rapidly decreases from 100% to below 50% with the robust estimation method. While the correct-detection rate using the proposed method is always more than 60%, even if the number of satellites simulated with cycle slips reaches five. In addition, the proposed method always has a lower undetection rate than the robust estimation method. Simulation showed that when the number of satellites with cycle slips exceeds three, the undetection rate increases to more than 30%, reaching ~70% for the robust estimation method and less than 30% for the proposed method. View Full-Text
Keywords: Cycle-slip detection; time-differenced; quality control; fuzzy-cluster; number of cycle slips; single-frequency Cycle-slip detection; time-differenced; quality control; fuzzy-cluster; number of cycle slips; single-frequency
Show Figures

Figure 1

MDPI and ACS Style

Li, Z.; Li, M.; Shi, C.; Chen, L.; Deng, C.; Song, W.; Liu, R.; Zhang, P. A New Fuzzy-Cluster-Based Cycle-Slip Detection Method for GPS Single-Frequency Observation. Remote Sens. 2019, 11, 2896.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop