基于Monte Carlo采样策略的UKF算法应用  

Application of UKF based on a Monte Carlo sampling strategy algorithm

作　　者：万某峰[1] 赵长胜[1] 王飞[1] 陈士城[1] 

机构地区：[1]徐州师范大学测绘学院,江苏徐州221116

出　　处：《测绘工程》2013年第1期12-15,共4页Engineering of Surveying and Mapping

基　　金：国家自然科学基金资助项目(41174032)

摘　　要：UKF算法中,Sigma采样点体现对均值和方差的传递精度。文中利用一种新的采样策略———蒙特卡洛模拟法采样策略,生成Sigma点集,再对每个Sigma点进行非线性变换,变换后仍通过非线性卡尔曼滤波公式计算,利用一个仿真算例验证采样策略的适用性。In Unscented Kalman Filtering algorithm, transmission precision reflects Sigma points. It presents a new method-Monto Carlo sampling strategy in order to generate a set of Sigma points, each of which needs to be transformed in nonlinearity, this using nonlinear Kalman Filtering algorithm. Finally, a simulation example is used to verify the applicability of this method.

关 键 词：非线性 UKF MONTE Carlo采样策略 

分 类 号：P228.41[天文地球—大地测量学与测量工程] P207[天文地球—测绘科学与技术]