基于最小二乘拟合的GPS数据有损压缩算法

GPS Data Lossy Compression Algorithm Based on Least Squares Fitting Method

为了解决车辆监控中心海量GPS数据的存储问题,给出了一套基于最小二乘法拟合速度的GPS数据压缩和还原算法。对实测GPS数据以及压缩还原后的数据,研究表明,基于最小二乘法拟合速度的GPS数据压缩和还原算法可有效提高GPS车辆定位数据的压缩率和还原后的精度。

In order to solve the problem of mass GPS tracking data storage, this paper presented a lossy compression algorithm based on least square fitting method. The real GPS data were compressed and restored. The restored data and real data were compared. The results show that the compression ratio and the accuracy of the restored data are improved effectively.