集合卡尔曼滤波的GPS周跳探测

Study on cycle slip detection by use of EnKF

周跳的探测一直以来都是GPS载波相位测量数据预处理的一个重点和难点,准确探测周跳有利于整周模糊度的确定,大大地提高了GPS的定位精度。文章利用集合卡尔曼滤波模型对GPS周跳问题进行探测研究,针对静态载波相位数据给出了最佳的参数量,进行周跳探测试验,从理论和实践上证明了该模型对GPS周跳探测的可行性和有效性。

The detection of GPS cycle slip has always been the emphasis and difficulty in the pretreat- ment of GPS carrier phase data, but precise cycle slip is advantageous to identify the integer ambiguity, and this can improve the precision of the GPS greatly. In this article, the Ensemble Kalman Filter model of constant acceleration was chosen to detect the cycle slip, and the best parameter of static carrier phase data was given with MATLAB. The result proved the feasibility and validity of the model.