A novel real time cycle slip detection and repair method for a single dual-frequency GNSS receiver

2017 ◽  
Author(s):  
Hang Yi ◽  
Hongbo Wang ◽  
Xueyun Wang ◽  
Shengkang Zhang ◽  
Haifeng Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Cycle Slip ◽  
Dual Frequency ◽  
Gnss Receiver ◽  
Repair Method ◽  
Cycle Slip Detection ◽  
Time Cycle ◽  
Slip Detection

scholarly journals Real-time Cycle Slip Detection and Repair Method for BDS-3 Five-frequency Data

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Haijun Yuan ◽  
Zhetao Zhang ◽  
Xiufeng He ◽  
Tianyang Xu ◽  
Xueyong Xu ◽  
...  
Keyword(s):  
Real Time ◽  
Cycle Slip ◽  
Frequency Data ◽  
Repair Method ◽  
Cycle Slip Detection ◽  
Time Cycle ◽  
Slip Detection

scholarly journals A New Real-Time Cycle Slip Detection and Repair Method under High Ionospheric Activity for a Triple-Frequency GPS/BDS Receiver

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 427 ◽  
Author(s):  
Wanke Liu ◽  
Xueyuan Jin ◽  
Mingkui Wu ◽  
Jie Hu ◽  
Yun Wu
Keyword(s):  
Real Time ◽  
Cycle Slip ◽  
Repair Method ◽  
Triple Frequency ◽  
Cycle Slip Detection ◽  
Time Cycle ◽  
Slip Detection

scholarly journals Algorithm for Real-Time Cycle Slip Detection and Repair for Low Elevation GPS Undifferenced Data in Different Environments

2021 ◽  
Vol 13 (11) ◽  
pp. 2078
Author(s):  
Ning Liu ◽  
Qin Zhang ◽  
Shuangcheng Zhang ◽  
Xiaoli Wu
Keyword(s):  
Real Time ◽  
High Voltage ◽  
Second Order ◽  
Cycle Slip ◽  
Order Difference ◽  
Cycle Slips ◽  
Cycle Slip Detection ◽  
Wide Lane ◽  
Time Cycle ◽  
Slip Detection

Real-time cycle slip detection and repair is one of the key issues in global positioning system (GPS) high precision data processing and application. In particular, when GPS stations are in special environments, such as strong ionospheric disturbance, sea, and high-voltage transmission line interference, cycle slip detection and repair in low elevation GPS observation data are more complicated than those in normal environments. For low elevation GPS undifferenced carrier phase data in different environments, a combined cycle slip detection algorithm is proposed. This method uses the first-order Gauss–Markov stochastic process to model the pseudorange multipath in the wide-lane phase minus narrow-lane pseudorange observation equation, and establishes the state equation of the wide-lane ambiguity with the pseudorange multipath as a parameter, and it uses the Kalman filter for real-time estimation and detects cycle slips based on statistical hypothesis testing with a predicted residual sequence. Meanwhile, considering there are certain correlations among low elevation, observation epoch interval, and ionospheric delay error, a second-order difference geometry-free combination cycle slip test is constructed that takes into account the elevation. By combining the two methods, real-time cycle slip detection for GPS low elevation satellite undifferenced data is achieved. A cycle slip repair method based on spatial search and objective function minimization criterion is further proposed to determine the correct solution of the cycle slips after they are detected. The whole algorithm is experimentally verified using the static and kinematic measured data of low elevation satellites under four different environments: normal condition, high-voltage transmission lines, dynamic condition in the sea, and ionospheric disturbances. The experimental results show that the algorithm can detect and repair cycle slips accurately for low elevation GPS undifferenced data, the difference between the float solution and the true value for the cycle slip does not exceed 0.5 cycle, and the differences obey the normal distribution overall. At the same time, the wide-lane ambiguity and second-order difference GF combination sequence calculated by the algorithm is smoother, which give further evidence that the algorithm for cycle slip detection and repair is feasible and effective, and has the advantage of being immune to the special observation environments.

Real-time cycle-slip detection and repair for BeiDou triple-frequency undifferenced observations

Survey Review ◽  
2016 ◽  
Vol 48 (350) ◽  
pp. 367-375 ◽  
Author(s):  
Y.-F. Yao ◽  
J.-X. Gao ◽  
J. Wang ◽  
H. Hu ◽  
Z.-K. Li
Keyword(s):  
Real Time ◽  
Cycle Slip ◽  
Triple Frequency ◽  
Cycle Slip Detection ◽  
Time Cycle ◽  
Slip Detection
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