Cycle slip detection and repair for undifferenced GPS observations under high ionospheric activity
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- 作者：Changsheng Cai (1)
Zhizhao Liu (2)
Pengfei Xia (1)
Wujiao Dai (1) - 关键词：GPS ; Cycle slip ; Melbourne–Wübbena linear combination ; Forward and backward moving window averaging ; Second ; order ; Time ; difference phase ionospheric residual
- 刊名：GPS Solutions
- 出版年：2013
- 出版时间：April 2013
- 年：2013
- 卷：17
- 期：2
- 页码：247-260
- 全文大小：910 KB
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Zhizhao Liu (2)
Pengfei Xia (1)
Wujiao Dai (1)
1. Department of Surveying and Geo-informatics, Central South University, 932 Lushan South Road, Changsha, 410083, China
2. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China - ISSN：1521-1886
文摘
We develop a new approach for cycle slip detection and repair under high ionospheric activity using undifferenced dual-frequency GPS carrier phase observations. A forward and backward moving window averaging (FBMWA) algorithm and a second-order, time-difference phase ionospheric residual (STPIR) algorithm are integrated to jointly detect and repair cycle slips. The FBMWA algorithm is proposed to detect cycle slips from the widelane ambiguity of Melbourne–Wübbena linear combination observable. The FBMWA algorithm has the advantage of reducing the noise level of widelane ambiguities, even if the GPS data are observed under rapid ionospheric variations. Thus, the detection of slips of one cycle becomes possible. The STPIR algorithm can better remove the trend component of ionospheric variations compared to the normally used first-order, time-difference phase ionospheric residual method. The combination of STPIR and FBMWA algorithms can uniquely determine the cycle slips at both GPS L 1 and L 2 frequencies. The proposed approach has been tested using data collected under different levels of ionospheric activities with simulated cycle slips. The results indicate that this approach is effective even under active ionospheric conditions.