基于改进卡尔曼滤波的卫星导航定位精度优化

Satellite navigation and positioning accuracy optimization based on improved Kalman filter

为解决卫星导航定位信号因遮挡而出现非视距传播模式,导致定位精度低的问题,研究基于改进卡尔曼滤波的卫星导航定位精度优化方法。改进蛙跳算法寻优设置,优化支持向量机,分类提取存在遮挡信息的卫星导航信号;设计基于改进卡尔曼滤波的卫星导航定位精度提升算法,动态估计存在遮挡信息的卫星导航信号观测噪声协方差,自适应调节信号滤波增益,全面去除信号中的无效定位信息,获得精准卫星导航定位结果。研究结果显示:所提方法使用后,卫星导航定位结果实际位置高度匹配,定位精度明显提升。

In order to solve the problem of low positioning accuracy caused by non line-of-sight propagation patterns of satellite navigation positioning signals due to occlusion,an improved Kalman filter based optimization method for satellite navigation positioning accuracy was studied.Improve the optimization settings of the leapfrog algorithm,optimize support vector machines,and classify and extract satellite navigation signals with occlusion information;Design a satellite navigation positioning accuracy improvement algorithm based on improved Kalman filtering,dynamically estimate the covariance of satellite navigation signal observation noise with occlusion information,adaptively adjust the signal filtering gain,comprehensively remove invalid positioning information from the signal,and obtain accurate satellite navigation positioning results.The research results show that after using the proposed method,the actual position of satellite navigation and positioning results are highly matched,and the positioning accuracy is significantly improved.