精细农业中非差GPS信号处理探讨

The Discuss of Un-differential GPS Data Processing in Precision Agriculture

为了满足精细农业高精度、低成本的GPS定位导航应用,在对自适应卡尔曼滤波器分析的基础上,参考测量学中的数据处理方法,提出了一种带修正因子的改进卡尔曼滤波算法。实验结果表明,该算法运算量小,比普通的卡尔曼滤波算法的动态性能好,可显著提高精细农业中非差GPS导航系统的定位精度。

In order to attain high accuracy of GPS satellite navigation, positioning and low cost in precision agriculture, Based on adaptive kalman filtering theory, Reference the data processing method of measure subject, a modified kalman filtering arithmetic with correct factor was presented in this paper. Computer simulation results showed this arithmetic could decrease operation, and the arithmetic is better than general arithmetic for kalman filtering in dynamic performance, Positioning precision of un -differential GPS in precision agriculture can be obvious improved by the arithmetic.