An Algorithm for Cycle-Slip Detection in a Melbourne–Wübbena Combination Formed of Code and Carrier Phase GNSS Measurements

2019 ◽  
Vol 62 (5) ◽  
pp. 415-421 ◽  
Author(s):  
I. V. Bezmenov ◽  
I. Yu. Blinov ◽  
A. V. Naumov ◽  
S. L. Pasynok
2012 ◽  
Vol 588-589 ◽  
pp. 1028-1032
Author(s):  
Yi De Li ◽  
Zhan Feng Li ◽  
Xi Nan Li

It is easier to develop the cycle slip phenomena during the carrier phase observation in GPS. In order to improve the reliability and accuracy of the system measurement, we need to diagnose and find out the position of the cycle slip, and then fix it before the data pretreatment stage which is ahead of the adjustment. Using the double-differenced carrier phase observables can eliminate the correlative error term and improve the accuracy of the measurement. Therefore, the essay studies the method of the double-differenced carrier phase cycle slip detection based on the wavelet analysis, and finally test the measured data. The experimental results showed that the detection of cycle slip is very sensitive when we select the suitable wavelet base.


2021 ◽  
Vol 25 (1) ◽  
pp. 113-116
Author(s):  
Desheng Shi ◽  
Weijie Yuan ◽  
Shuangyang Li ◽  
Nan Wu ◽  
Derrick Wing Kwan Ng

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 346
Author(s):  
Xinyang Zhao ◽  
Zun Niu ◽  
Gaoxu Li ◽  
Qiangqiang Shuai ◽  
Bocheng Zhu

The detection and repair of the cycle slip is a key step for high precision navigation and positioning in indoor environments. Different methods have been developed to detect and repair cycle slips for carrier phase processing. However, most approaches are designed to eliminate the effects of the ionosphere in an outdoor environment, and many of them use pseudorange (code) information that is no longer suitable for indoor multipath environments. In this paper, a method based on the geometry-free combination without the pseudorange data is proposed to detect and fix cycle slips. A ground-based navigation system is built for data collection. Unlike the traditional dual-frequency cycle slip detection method, the Beidou B1, GPS L1 carrier phase combination is used instead of the B1, B2, or L1, L2 carrier phase combination, Ublox is used for data collecting. For fixing the cycle slips quickly, an improved adaptive Particle Swarm Optimization (PSO) algorithm is employed. We compared the performance of the new method with the existing two methods using simulated data in different conditions. The results show that the proposed method has better performance than other methods.


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