4.7 Article

Cycle Slip Detection during High Ionospheric Activities Based on Combined Triple-Frequency GNSS Signals

期刊

REMOTE SENSING
卷 11, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/rs11030250

关键词

GNSS ionospheric bias mitigation; cycle slip; combined signals; HMW combination

资金

  1. Ningbo Science and Technology Bureau as part of the International Academy for the Marine Economy and Technology (IAMET) Project 'Structural Health Monitoring of Infrastructure in the Logistics Cycle' [2014A35008]
  2. Natural Science Foundation of China (NSFC) [41704024]
  3. Zhejiang Provincial Natural Science Foundation of China [LY16D040001]
  4. Open Foundation of Key Laboratory of Precise Engineering and Industry Surveying of National Administration of Surveying, Mapping and Geoinformation [PF2017-6]
  5. Startup Foundation for Introducing Talent of NUIST [2243141801036]
  6. National Natural Science Foundation of the China-German Science Foundation (NSFC-DFG) Project [41761134092]

向作者/读者索取更多资源

The current cycle slip detection methods of Global Navigation Satellite System (GNSS) were mostly proposed on the basis of assuming the ionospheric delay varying smoothly over time. However, these methods can be invalid during active ionospheric periods, e.g., high Kp index value and scintillations, due to the significant increase of the ionospheric delay. In order to detect cycle slips during high ionospheric activities successfully, this paper proposes a method based on two modified Hatch-Melbourne-Wubbena combinations. The measurement noise in the Hatch-Melbourne-Wubbena combination is minimized by employing the optimally selected combined signals, while the ionospheric delay is detrended using a smoothing technique. The difference between the time-differenced ambiguity of the combined signal and this estimated ionospheric trend is adopted as the detection value, which can be free from ionospheric effect and hold the high precision of the combined signal. Five threshold determination methods are proposed and compared to decide the cycle slip from the magnitude aspect. This proposed method is tested with triple-frequency Global Navigation Satellite System observations collected under high ionospheric activities. Results show that the proposed method can correctly detect and fix cycle slips under disturbed ionosphere.

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