Estimation of GPS Carrier Ambiguity Distribution Using Local Linearization Particle Filters

摘要

GPS can give precise positioning information of sub-centimeter. 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.