哈尔滨商业大学学报（自然科学版）2012，Vol.28Issue(3)：300-303,4.
相关观测噪声的加权观测融合UKF滤波器
Weighted measurement fusion algorithm for nonlinear unscented Kalman filter
摘要
Abstract
For nonlinear systems with the same observation equation and the same observation noise, based on the unscented Kalman filter (UKF) and weighted least squares ( WLS) method, the algorithm of the weighted measurement fusion UKF was presented. The weighted measurement fusion UKF has global optimally, and it was proved that the dimension of observing system didn' t increase, further the algorithm, further algorithm didn' t increase the system's computational burden. A simulation example for the nonlinear systems with two sensors showed the effectiveness of the two measurement fusion UKF and verifies the completely numerically identity.关键词
相关观测噪声/无迹卡尔曼滤波器/加权观测融Key words
correlated observation noise/ unscented Kalman filter/ weighted measurement fusion分类
数理科学引用本文复制引用
李云,郝钢,邢宗新,李世军,梁伯虎..相关观测噪声的加权观测融合UKF滤波器[J].哈尔滨商业大学学报（自然科学版）,2012,28(3):300-303,4.基金项目
黑龙江省自然科学基金(F201015). （F201015）
