摘要
粒子滤波算法适用于非线性非高斯系统,被广泛应用于移动机器人定位中.分析粒子滤波的原理,针对传统粒子滤波算法性能较大程度上取决于重要性替代分布的选择这一缺陷,引入无迹卡尔曼滤波加以改进,最后给出该方法在移动机器人定位中的应用.
Particle Filter is suitable for nonlinear non-Gaussian system.It is widely used in the mobile robot location.Analyze the principle of Particle Filter,find out that its performance largely depends on the selection of proposal importance distribution.Contrapose to the bug,import the Unscented Kalman Filter to improve it.At last present the application of this algorithm in the mobile robot location.
出处
《微电子学与计算机》
CSCD
北大核心
2009年第2期159-162,共4页
Microelectronics & Computer