Cycle-Slip Detection Methods for Dual-frequency Un-difference Data at Low Elevation Angle

FAN Shijie; CHEN Guanxu; LIU Yanxiong; MU Chunlin

doi:10.13203/j.whugis20140124

Volume 41 Issue 3

Mar. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(3): 310-315. > DOI: 10.13203/j.whugis20140124

FAN Shijie, CHEN Guanxu, LIU Yanxiong, MU Chunlin. Cycle-Slip Detection Methods for Dual-frequency Un-difference Data at Low Elevation Angle[J]. Geomatics and Information Science of Wuhan University, 2016, 41(3): 310-315. DOI: 10.13203/j.whugis20140124

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Cycle-Slip Detection Methods for Dual-frequency Un-difference Data at Low Elevation Angle

1.
School of Geosciences, China University of Petroleum, Qingdao 266580, China;
2.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Funds: The National Natural Science Foundation of China, Nos. 41274011,41374044.

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Received Date: November 24, 2014
Published Date: March 04, 2016

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Abstract

GPS dual-frequency un-difference observations at low elevation angle are prone to large measurement noises, misjudgments, and false negatives in cycle-slip detection. This paper proposes a modified cycle-slip detection algorithm, based on ionosphere residual and MW observation combination. First, the ionosphere residual algorithm is improved by introducing a time window method to calculate a more realistic threshold using the cycle-slip detected error distribution. Then, during wide lane cycle-slip detection, the determinant conditions of the MW combination algorithm was improved by combining the weighted recursive smoothing method and time window method to estimate the wide lane ambiguity and evaluate its precision. Verified by IGS observation data, the improved algorithm achieves good cycle slip detection results.

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