Research on Beidou Positioning System Based on Improved Kalman Filtering Algorithm

Chen Yuqiang

Abstract


For the low positioning accuracy of Direct Calculation (DC), the massive iterations of Weighted Least Squares algorithm (WLS), and the over sensitivity to the initial position of Kalman filtering iterative algorithm, we compute the receiver position by WLS combined with improved Kalman filtering algorithm(IKF) based on Beidou satellite signals. This algorithm firstly uses Weighted Least Squares iterative algorithm to locate the initial position and then the improved Kalman algorithm to perform filtering. The experimental results and simulation show that compared with Weighted Least Squares iterative algorithm and Kalman filtering algorithm, the positioning accuracy is increased greatly by this algorithm under the condition of the same number of iterations, which has important significance to accelerate the civilian process of BeiDou navigation


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