抑制闪烁噪声的SMM-IUKF目标跟踪算法

A SMM-IUKF Tracking Method Against Target Glint

针对末制导被动雷达跟踪测量的闪烁噪声问题,在分析多模型滤波及其简化算法的基础上,采用迭代不敏卡尔曼滤波(IUKF),设计了一种简化的多模型滤波器(SMM-IUKF),并以一个典型三维目标跟踪问题为例进行了蒙特卡洛仿真验证.该算法具有与SMM算法同阶的计算量,估计精确度高、收敛速度快,较好地解决了闪烁噪声滤波问题.

For the problem of target glint in the terminal guidance of passive radar tracking,after the analysis of the interactive multiple model method（IMM） and its simplified version——the simplified multiple model method（SMM）,an iterated unscented Kalman filter（IUKF） is used for the design of a simplified multiple model method.A typical three dimensional tracking problem is used to prove the effectiveness of the algorithm by Mote Carlo Method.The proposed method has the same order of computational cost with SMM,but with higher estimation accuracy and faster convergence speed,hence a better filtering algorithm for target glint.