摘要
由于GPS信号容易受到遮挡、干扰等影响,有时会存在较大的系统噪声和量测噪声,这将引起GPS的定位精度受到较大影响。研究了一种利用扩展卡尔曼滤波对GPS定位数据进行处理的方法。对扩展卡尔曼滤波算法进行了深入分析,并结合GPS应用建立了系统的动态模型,对滤波算法的初值和系统噪声的进行了探讨。通过实测GPS数据对扩展卡尔曼滤波算法进行了验证,实测结果表明该算法对GPS应用系统的定位数据有较好的滤波效果,可以有效的提高GPS的定位精度。
Actually the positioning accuracy of GPS system, because of keeping out and interference, has been a greater impact on system noise and measurement noise. Extended Kalman filtering algorithm is analyzed in-depth which is used in GPS data processing. The system＇s dynamic model is established combined with GPS application, the initial value of filtering algorithm and system of noise are discussed. Extended Kalman filter is tested through the actual GPS data and the measured results show that the algorithm has a good effect on the application system of GPS positioning data, and can effectively improve the accuracy of GPS.
出处
《科学技术与工程》
北大核心
2012年第31期8137-8142,共6页
Science Technology and Engineering
基金
国家自然科学基金(61101161)
航空科学基金(2011ZC54010)
辽宁省博士启动基金(20101081)资助
