A Fast Integer Ambiguity Resolution Method for PPP

J. Shi and Y. Gao

Abstract:	Integer ambiguity resolution is feasible for precise point positioning (PPP) and has received a lot of attentions due to its significant benefits to various applications. Several effective methods have been proposed in the past five years based on different observation combinations and positioning models. But no much reported work on integer ambiguity searching and validation in PPP. As to the integer ambiguity searching, it is often difficult to conduct the full ambiguity resolution particularly with a high level of reliability. For example, when a new satellite rises above the elevation angle mask, the observations to this satellite will be much noisier than other satellites and will affect the precisions of other ambiguities. This will slow down the speed of the integer ambiguity searching, or even lead to the wrongly fixed integer values. On the other hand, the challenge of the ambiguity validation lies in the determination of the thresholds for the reliability tests such as the success rate test and the ratio test. A partial ambiguity searching method is proposed in this paper. In addition, how to determine the thresholds for the reliability tests is also investigated. By using the proposed method, the PPP ambiguity subset can be fixed at a high level of reliability and with significantly reduced time. This can then speed up the PPP ambiguity resolution process and also make the ambiguity-resolved PPP solutions not affected by those ambiguities that cannot be reliably fixed.
Published in:	Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012) September 17 - 21, 2012 Nashville Convention Center, Nashville, Tennessee Nashville, TN
Pages:	3728 - 3734
Cite this article:	Shi, J., Gao, Y., "A Fast Integer Ambiguity Resolution Method for PPP," Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 3728-3734.
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