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抑制闪烁噪声的SMM-IUKF目标跟踪算法
引用本文:汪语哲,史小平,朱胤.抑制闪烁噪声的SMM-IUKF目标跟踪算法[J].哈尔滨理工大学学报,2010,15(5):69-74.
作者姓名:汪语哲  史小平  朱胤
作者单位:哈尔滨工业大学控制与仿真中心,黑龙江哈尔滨150080
基金项目:总装备部武器装备预研项目,国家自然科学基金
摘    要: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.

关 键 词:多模型算法  迭代不敏卡尔曼滤波  目标跟踪  闪烁噪声  简化多模型算法

A SMM-IUKF Tracking Method Against Target Glint
WANG Yu-zhe,SHI Xiao-ping,ZHU Yin.A SMM-IUKF Tracking Method Against Target Glint[J].Journal of Harbin University of Science and Technology,2010,15(5):69-74.
Authors:WANG Yu-zhe  SHI Xiao-ping  ZHU Yin
Affiliation:(Control and Simulation Center,Harbin Institute of Technology,Harbin 150080,China)
Abstract: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.
Keywords:IMM  IUKF  target tracking  glint noise  SMM
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