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.
Line of sight rate estimation of strapdown imaging seeker based on Particle Filter
2010-06-01
876276 byte
Conference paper
Electronic Resource
English
Strapdown Laser-Seeker Guidance Simulation
NTIS | 1971
|Guidance Law and Adaptive Filter Design of Strapdown Seeker
British Library Conference Proceedings | 1994
|Strapdown seeker guidance for tactical weapons
Tema Archive | 1978
|