Study on Multipath Mitigation and Dual-frequency Fast Ambiguity Estimation Based on Kalman Filter

The low reliability of estimation to widelane ambiguity is mainly caused by pseudo-range multipath error. Therefor, a new method based on Kalman filter is proposed to separate multipath error from widelane ambiguity in real time. This method can get reliable ambiguity in short time when the multipath error is modeled as first order Gauss-Markov process. The validity and reliability of proposed method are confirmed with experiments.