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

Authors :
Mingkui Wu
Yun Wu
Wanke Liu
Xueyuan Jin
Jie Hu
Source :
Sensors (Basel, Switzerland), Sensors, Vol 18, Iss 2, p 427 (2018), Sensors; Volume 18; Issue 2; Pages: 427
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

Cycle slip detection and repair is a prerequisite for high-precision global navigation satellite system (GNSS)-based positioning. With the modernization and development of GNSS systems, more satellites are available to transmit triple-frequency signals, which allows the introduction of additional linear combinations and provides new opportunities for cycle slip detection and repair. In this paper, we present a new real-time cycle slip detection and repair method under high ionospheric activity for undifferenced Global Positioning System (GPS)/BeiDou Navigation Satellite System (BDS) triple-frequency observations collected with a single receiver. First, three optimal linearly independent geometry-free pseudorange minus phase combinations are selected to correctly and uniquely determine the cycle slips on the original triple-frequency carrier phase observations. Then, a second-order time-difference algorithm is employed for the pseudorange minus phase combinations to mitigate the impact of between-epoch ionospheric residuals on cycle slip detection, which is especially beneficial under high ionospheric activity. The performance of the approach is verified with static GPS/BDS triple-frequency observations that are collected with a 30 s sampling interval under active ionospheric conditions, and observations are manually inserted with simulated cycle slips. The results show that the method can correctly detect and repair cycle slips at a resolution as small as 1 cycle. Moreover, kinematic data collected from car-driven and airborne experiments are also processed to verify the performance of the method. The experimental results also demonstrate that the method is effective in processing kinematic data.

Details

ISSN :
14248220
Volume :
18
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....7ddc5db51b14f854ef577ad36ca78f55
Full Text :
https://doi.org/10.3390/s18020427