Estimation of GPS Carrier Ambiguity Distribution Using Local Linearization Particle Filters

Sebum Chun, Eunsung Lee, Teasam Kang, Young Jae Lee, Gyu-In Jee and Jeongrae Kim

Abstract:	GPS can give precise positioning information of subcentimeter. But it needs carrier phase measurement and resolving carrier ambiguity. Almost all resolving algorithms use searching technique. However, it needs pre-filter for float ambiguity estimation. Kalman filter is used to estimate float ambiguity for searching area fixing. It only can handle Gaussian noise. In this paper, we estimate non-Gaussian float ambiguity with particle filter. LLPF is applied to this problem to overcome some implementation problem like degeneracy.
Published in:	Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005) September 13 - 16, 2005 Long Beach Convention Center Long Beach, CA
Pages:	512 - 516
Cite this article:	Chun, Sebum, Lee, Eunsung, Kang, Teasam, Lee, Young Jae, Jee, Gyu-In, Kim, Jeongrae, "Estimation of GPS Carrier Ambiguity Distribution Using Local Linearization Particle Filters," Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, September 2005, pp. 512-516.
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