基于粒子滤波的捷联成像导引头视线角速率估计

Strapdown Imaging Seeker Los Rate Estimation Based on Particle Filter

提出了一种基于粒子滤波的捷联成像导引头视线角速率的估计方法。由于捷联成像导引头状态方程和观测方程的强非线性特点以及观测量中较强的非高斯测量噪声,扩展卡尔曼滤波(EKF)方法不能完全满足滤波精度要求。与扩展卡尔曼滤波相比,粒子滤波(PF)是一种在非线性和非高斯情形下进行状态估计的强有力方法。采用粒子滤波对捷联成像导引头的视线角速率进行估计,仿真结果表明,粒子滤波方法可以有效地提高视线角速率的估计精度。

A method to estimate the line of sight rate of strapdown imaging seeker based on particle filter was presented. As there were high nonlinearity in both process and measurement equations and more serious non-Gaussian noise in the measurements, the extended Kalman filter（EKF） could not completely meet the requirements of filtering. Compared with EKF, particle filter（PF） was a congruent method for states estimating in the conditions of nonlinearity and non- Gaussian noise. PF was applied to estimate the LOS rate of strapdown imaging seeker, simulation results show that PF can improve the precision of LOS rate estimation.