Cycle Slip Detection and Correction for Kinematic GPS Based on Statistical Tests of Innovation Processes

Yukihiro Kubo, Kohsuke Sone and Sueo Sugimoto

Abstract:	This paper proposes a cycle slip detection and correction algorithm as a part of the quality control of the GPS positioning based on statistical tests of the innovation processes of the Kalman Filter. The algorithm is developed for dual (or more) frequencies, carrier phase real time kinematic positioning using the Kalman filter and the LAMBDA ambiguity resolution method. The algorithm can efficiently remove cycle slips and maintain the highly accurate positioning. The experimental results of positioning by using real receiver data show the feasibility of the present algorithms.
Published in:	Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004) September 21 - 24, 2004 Long Beach Convention Center Long Beach, CA
Pages:	1438 - 1447
Cite this article:	Kubo, Yukihiro, Sone, Kohsuke, Sugimoto, Sueo, "Cycle Slip Detection and Correction for Kinematic GPS Based on Statistical Tests of Innovation Processes," Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004), Long Beach, CA, September 2004, pp. 1438-1447.
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