电光与控制, 2012, 19 (2): 63, 网络出版: 2012-02-20  

简化UKF在机载IRST系统被动测距中的应用

Application of Simplified UKF in Airborne IRST Passive Ranging
作者单位
1 空军工程大学工程学院,西安710038
2 光电控制技术重点实验室,河南 洛阳471009
摘要
针对机载IRST系统被动测距问题,给出了一种简化的UKF(SUKF)算法。算法无需对状态变量进行扩维,对于线性状态方程使用了和卡尔曼滤波相同的时间更新方法,对于非线性测量方程保持了UKF的特征,既继承了UKF的优点又减小了算法的运算量。仿真结果表明,SUKF在测距精度和收敛速度上明显优于EKF,其性能与标准UKF相同但计算耗时少,适合于机载IRST系统被动测距的实时处理。
Abstract
To solve the problem of airborne IRST passive ranging,a new algorithm of Simplified Unscented Kalman Filter (SUKF) was proposed,which did not need augment the dimension of state variable.For linear state equations,the algorithm used the same time updating method as that of the Kalman filter; for nonlinear measure equations,the characteristics of UKF were kept thus the computation cost was reduced and the advantages of UKF were inherited.The simulation results show that SUKF is markedly superior to EKF in passive ranging accuracy and convergence speed,and can achieve the same performance as UKF with shorter time cost on calculation.The SUKF is suitable for real-time processing in the airborne IRST passive ranging.

冯国强, 李战武, 柳毅. 简化UKF在机载IRST系统被动测距中的应用[J]. 电光与控制, 2012, 19(2): 63. FENG Guoqiang, LI Zhanwu, LIU Yi. Application of Simplified UKF in Airborne IRST Passive Ranging[J]. Electronics Optics & Control, 2012, 19(2): 63.

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