基于解析法的用户差分距离误差解算方法(英文)

为了进一步增强星基导航系统的完好性性能,提出了一种基于解析法的用户差分距离误差计算方法。文中首先介绍了卫星时钟和星历改正数的计算方法,认为计算用户差分距离误差的关键是查找卫星服务区域内的最差用户位置。通过变换卫星时钟和星历误差协方差矩阵,将查找最差用户位置变换成一个解析几何问题,通过数学推导得出最差用户位置的解析式,进而求解用户差分距离误差。通过计算机仿真对比了解析法和遍历法之间的性能差异,结果表明:解析法的正确性由遍历法得到了验证,解析法可以减少90%的运行时间并且具有更低的计算复杂度,便于工程实现。

A User Differential Range Error Calculating Algorithm Based on Analytic Method

To enhance the integrity, an analytic method (AM) which has less execution time is proposed to calculate the user differential range error (UDRE) used by the user to detect the potential risk. An ephemeris and clock correction calculation method is introduced first. It shows that the most important thing of computing UDRE is to find the worst user location (WUL) in the service volume. Then, a UDRE algorithm using AM is described to solve this problem. By using the covariance matrix of the error vector, the searching of WUL is converted to an analytic geometry problem. The location of WUL can be obtained directly by mathematical derivation. Experiments are conducted to compare the performance between the proposed AM algorithm and the exhaustive grid search (EGS) method used in the master station. The results show that the correctness of the AM algorithm can be proved by the EGS method and the AM algorithm can reduce the calculation time by more than 90%. The computational complexity of this proposed algorithm is better than that of EGS. Thereby this algorithm is more suitable for computing UDRE at the master station.