摘要
针对大地坐标系下,超视距目标状态方程和量测方程复杂的非线性,提出了一种基于Unscented卡尔曼滤波的超视距目标跟踪。Unscented卡尔曼滤波通过设计少量的σ点,并计算这些σ点经由非线性函数的传播,从而获得滤波值基于非线性系统方程的更新。由于Unscented卡尔曼滤波无需像Extended卡尔曼滤波那样求状态方程和量测方程的雅可比矩阵,给计算带来了极大的方便。数值仿真结果表明,所给出的方法是可行而有效的。
Aiming at the intense non-linearity of the state and measurement equations which are established in geodetic coordinate system, a new algorithm based on unscented Kaman filter （UKF） was proposed. In Unscented Kalman filtering, the updating of the filtering based on the nonlinear system equation was realized by designing a few sigma points and calculating the propagation of these sigma points via non-linear functions. UKF has great convenience in computing, because it does not have to get the complicated Jacobian matrix which cannot be avoided in the ordinary extended Kalman filtering（EKF）, The simulation results show that the algorithm is feasible and efficient
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2007年第7期1613-1616,共4页
Journal of System Simulation
基金
海军工程大学自然科学基金(HGDJJ06014)
