一种新的GPS载波相位周跳探测与修复方法

doi:10.3969/j.issn.1000-1158.2011.03.19

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Abstract Based on the characteristics of cycle-slip, it is regarded as the fault of GPS carrier phase observations, and then how to detect it is considered as the problem of fault feature extraction. According to these analyses, a new algorithm for detecting and correcting cycle-slip is presented. The fourth difference series of carrier phase observations are calculated. Then, the Huang-Hilbert transform is carried out to the difference series, and the location of cycle-slip can be detected by ascertaining the point of modulus maximal value of the high frequency coefficients. Finally, the forecasted model of carrier phase observations on the basis of RBF neural network is established. The number of cycle-slip can be determined by comparing the difference between the forecasted and actual values. Experimental results are presented to demonstrate the feasibility and validity of the method.

Key words： Metrology Carrier phase Cycle-Slip Hilbert-Huang transform (HHT) RBF neural network

PACS:

TB939

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	Articles by authors
	TENG Yun-long
	SHI Yi-bing
	GUO Cheng-jun

Cite this article:

TENG Yun-long,SHI Yi-bing,GUO Cheng-jun. A New Method for Cycle-Slip Detection and Correction in GPS Carrier Phase[J]. Acta Metrologica Sinica, 2011, 32(3): 279-284.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2011.03.19 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2011/V32/I3/279

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