Carrier-aided smoothing for real-time Beidou positioning

Abstract

In general, phase smoothing pseudorange is employed to improve the positioning accuracy. When cycle slip happened, the phase smoothing pseudorange is evidently distorted. In this paper, a new algorithm of adaptive Kalman filter is proposed. Moreover, a suitable covariance algorithm is introduced to decrease the impact of cycle slip. The covariance of carrier phase is determined by phase measurement and predicted deviation. The method has been evaluated in static real-time situation. Our results demonstrate that the proposed filter performs better than Hatch filter. © 2013 Springer-Verlag.