一种用于散货码头的GPS精度提升算法

摘要

The GPS equipments are frequently applied for automation and remote monitoring in bulk terminals. Due to the noise, the GPS receivers cannot provide a high-precision positioning function. Accordingly, a Kalmen-filter-based method is developed to fast filter the noise and increase the precision of GPS systems. By the means of experiments, the key parameters of Kalman filter are first determined. Then, the precise GPS positioning data are obtained using automatic recursive calculations via Kalman filter. Finally, the proposed algorithm is verified by a group of experiments for comparison.%GPS是广泛应用于散货码头的自动化和远程监控中的一种设备.但由于噪声的存在,GPS接收器并不能提供高精度的定位.主要阐述了一种基于卡尔曼滤波器快速去除噪声的方法,并提高GPS系统的定位精度.通过实验法,卡尔曼滤波器的关键参数首先被确定,然后通过卡尔曼滤波器的自动递归运算,快速获取正确的GPS定位数据.最后,还通过了一组对比实验,验证了这种算法的有效性.