Line of Sight Rate Estimation of Strapdown Imaging Seeker Based on Particle Filter
A method to estimate the line of sight(LOS) rate of strapdown imaging seeker based on Particle Filter(PF) is presented. PF algorithm is firstly put forward and then the model of strapdown imaging seeker is introduced. Because of the high nonlinearity in both process and measurement equations and more seriously nonGaussian noise in the measurements, the normally used Extended Kalman Filter(EKF) can not completely meet the requirements of filtering. Comparatively, PF is a congruent method for tracking in the conditions of nonlinearity and nonGaussian noise. At the last, PF and EKF are applied to estimate the LOS rate of strapdown imaging seeker respectively. Simulation results show that PF is more precise than EKF in LOS rate estimation.
Zhang Ying-chun Li Jing-jing Li Hua-yi
Department of Control Science and Engineer,Harbin Institute of Technology,Harbin,China.
国际会议
哈尔滨
英文
187-191
2010-01-08(万方平台首次上网日期,不代表论文的发表时间)