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UKF和KF两级滤波的雷达与红外配准算法
引用本文:潘平俊,冯新喜,孙鹏,刘佳,刘英坤,李锋.UKF和KF两级滤波的雷达与红外配准算法[J].光电工程,2008,35(4):28-34.
作者姓名:潘平俊  冯新喜  孙鹏  刘佳  刘英坤  李锋
作者单位:1. 空军工程大学,电讯工程学院,西安,710077
2. 总参军代局西安地区代表室,西安,710071
摘    要:针对雷达与红外传感器的时间和空间偏差配准问题,给出时空偏差配准模型,提出了一种时空偏差实时估计算法.该算法将目标的运动状态和传感器偏差组合在同一状态方程中,构建扩维状态的系统动态方程和量测方程,并通过对量测方程的非线性分析,采用UKF和KF两级滤波的方法进行目标状态和配准偏差的联合估计.仿真结果表明,与采用UKF滤波的方法相比,该算法具有更高的估计精度,而且减小了计算量.

关 键 词:时空配准  UKF滤波  KF滤波  两级滤波
文章编号:1003-501X(2008)04-0028-07
收稿时间:2007/7/10
修稿时间:2007年7月10日

Registration Algorithm of Radar and IR Sensor Based on Two Stage Filtering of UKF and KF
PAN Ping-jun,FENG Xin-xi,SUN Peng,LIU Jia,LIU Ying-kun,LI Feng.Registration Algorithm of Radar and IR Sensor Based on Two Stage Filtering of UKF and KF[J].Opto-Electronic Engineering,2008,35(4):28-34.
Authors:PAN Ping-jun  FENG Xin-xi  SUN Peng  LIU Jia  LIU Ying-kun  LI Feng
Abstract:For the space-time registration errors of radar and IR sensor, a registration model for space and time biases is given and a registration algorithm for on-line biases estimation is presented. By incorporating sensor misalignments and target states into an augmented dynamic model, the dynamic equation of the augmented state and the augmented measurement equation are constructed. Then through the analysis for nonlinearity of the augmented measurement equation, a method of two stage filtering of Unscented Kalm...
Keywords:space-time registration  unscented Kalman filter  Kalman filter  two stage filter  
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