摘要
GPS定位以及测速误差中包含有卫星星历误差、电离层、对流层延迟以及多路径效应等多种误差,对GPS的测速精度有着十分重要的影响,减小其误差的一种重要的方法即为卡尔曼滤波。由于GPS测速难以确定动态噪声和观测噪声,因此,标准卡尔曼滤波往往不能时时满足假设条件,而致发散。采取自适应的滤波方法对其进行改进并进行了比较,取得了较好的结果。
There are many errors in GPS position, including ionosphere, troposphere and multipath errors, etc. Because these errors have much influence in position accuracy, and Kalman filter is used to reduce errors. But velocity measurement with GPS has dynamic noise and observation noise, and they are not easy to be obtained, so sometime it does not have good result. In this paper, adaptive filter method is used to deal with data and better result is presented.
出处
《全球定位系统》
2013年第1期15-17,27,共4页
Gnss World of China
关键词
GPS测速
卡尔曼滤波
自适应滤波
多普勒测速
Velocity measurement with GPS
Kalman filter
adaptive filter
Doppler velocity
