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In order to realize fast and accurate BDS/GPS integrated positioning, it is necessary to overcome the adverse effects of signal\udattenuation, multipath effect and echo interference to ensure the result of continuous and accurate navigation and positioning. In\udthis paper, pseudo-range positioning is used as the mathematical model. In the stage of data preprocessing, using precise and\udsmooth carrier phase measurement value to promote the rough pseudo-range measurement value without ambiguity. At last, the\udExtended Kalman Filter(EKF), the Unscented Kalman Filter(UKF) and the Particle Filter(PF) algorithm are applied in the\udintegrated positioning method for higher positioning accuracy. The experimental results show that the positioning accuracy of PF is\udthe highest, and UKF is better than EKF

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

BDS/GPS INTEGRATED POSITIONING METHOD RESEARCH BASED ON NONLINEAR KALMAN FILTERING