Improving TurboEdit Real-time Cycle Slip Detection by the Construction of Threshold Model

ZHANG Xiaohong; ZENG Qi; HE Jun; KANG Chao

doi:10.13203/j.whugis20150045

Volume 42 Issue 3

Mar. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(3): 285-292. > DOI: 10.13203/j.whugis20150045

ZHANG Xiaohong, ZENG Qi, HE Jun, KANG Chao. Improving TurboEdit Real-time Cycle Slip Detection by the Construction of Threshold Model[J]. Geomatics and Information Science of Wuhan University, 2017, 42(3): 285-292. DOI: 10.13203/j.whugis20150045

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Improving TurboEdit Real-time Cycle Slip Detection by the Construction of Threshold Model

School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

Funds:

The CET 54 Universities Coorperation Project KX132600031

the Pre-research Fund 51324040103

the Pre-research Fund 9140A24020713JB11342

the National Basic Surveying and Mapping Technological Project

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Author Bio:
ZHANG Xiaohong, PhD, professor, speciallizes in GNSS precise point positioning and its application in Geoscience. E-mail:xhzhang@sgg.whu.edu.cn
Received Date: September 13, 2015
Published Date: March 04, 2017

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Abstract

A combination method which is applicable to real-time cycle slip detection is selected based on the summary and comparison of various existing improved TurboEdit algorithms, and the method is optimized and improved by adding in the threshold models aiming at its defects. The specific optimizations are as follows: Adding the threshold model which is adaptive to the change of observation sequence RMS to the MW combination cycle slip detection based on the moving average filter, which reduces misjudgments and false negatives in the cycle slip detection effectively; Adding weighted threshold model which is changing with sampling rate and satellite elevation angle to the GF Combination cycle slip detection based on the GF difference between adjacent epochs, which improves the reliability of the cycle slip detection significantly when the sampling rate is low. A large amount of data are tested and the results show that, the combination method is effective and feasible. Compared with other improved methods, the method not only improves the detection precision to some extent, but also has great improvement in avoiding misjudgments and false negatives in cycle slip detection.
- real-time cycle slip detection,
- TurboEdit,
- moving average,
- threshold model

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