基于EUCF的GPS动态定位解算研究

The Research Based on EUCF of GPS Dynamic Positioning

随着GPS定位精度要求的提高,使得定位估计算法的复杂度和运算量越来越大,从而造成解算时间过长而难以实时地输出定位数据。针对此问题,本文将在EKF算法与UKF算法的基础上,对EKF与UKF相结合的混合滤波算法(The EKF and UKF Combined Filter,EUCF)进行研究。在GPS定位系统仿真测试平台下对该算法进行仿真,结果表明,在相同的环境条件,该算法能在保证高精度定位估计的前提下,提高运算速度,有效解决GPS接收机中高精度定位输出的实时性问题。

With the increase of GPS positioning accuracy requirement, the orientation estimation algorithm and the computational complexity are increasing, resulting in prolong time and difficult to calculate the output location data in realtime. To address this issue, this article will proposes a combination of hybrid filter algorithm （The EKF and UKF Combined Filter,EUCF）,which bases on the EKF and the UKF. This new algorithm is simulated under the GPS positioning system test platform The results showthe algorithm can on the premise of high-precision positioning is estimated to improve the computing speed in the same simulation conditions. It is useful to address the high dynamic GPS receivers output the real-time positioning accuracy problem effectively.