Line of sight rate estimation of strapdown imaging seeker based on Particle Filter

Author

Ying-chun, Zhang ; Jing-jing, Li ; Hua-yi, Li

Author_Institution

Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China

fYear

2010

fDate

8-10 June 2010

Firstpage

191

Lastpage

195

Abstract

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.

Keywords

Kalman filters; particle filtering (numerical methods); signal sampling; statistical analysis; extended Kalman filter; line of sight rate estimation; particle filter; strapdown imaging seeker; Azimuth; Estimation; Imaging; Mathematical model; Noise; Noise measurement; Particle filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on

Conference_Location

Harbin

Print_ISBN

978-1-4244-6043-4

Electronic_ISBN

978-1-4244-7505-6

Type

conf

DOI

10.1109/ISSCAA.2010.5633193

Filename

5633193