Information fusion algorithm for radar/IR compound seeker
摘要
MMW radar/IR compound guidance technology has become a hot research content of compound guidance field. Starting from the characteristic of MMW radar/IR composite seeker system, the federated filter(FF), structured with 2-levels, was used to set up a distribute information fusion algorithm of radar/IR composite seeker in this paper. In order to solve the problems that the extended Kalman filter algorithm had linearization errors and the glint noise of radar sensor was not a Gauss noise, the particle filter algorithm(PF) was used to design radar local filter; in order to solve the problem that the IR sensor couldnt measure the distance between missile and target, the pseudo-linear Kalman filter (PLKF) algorithm was used to design IR local filter; and after that, the main filter was responsible for data fusion and data reset to local filters. Simulations results demonstrate the effectiveness of this mode and show that this information fusion algorithm improves the tracking precision and the stability of radar/IR compound seeker system.