Radome slope estimation in flight using fuzzy adaptive multiple model for active homing missile

For homing missile guidance system in three dimensional engagement scenarios, a new filter structure using fuzzy adaptive multiple model (FAMM) algorithm, based on extended Kalman filter (EKF), for estimating both the radome slope and guidance information is proposed to reduce the influence induced by radome and enhance the system performance. The radome slopes are modeled as a series of possible configurations which the multiple model algorithm is used to get the model match degree based on. The new filtering algorithm includes a fuzzy inference system which adjusted the radome slope model on line to reduce the error of estimation. Simulation results indicate that the proposed filter structure can estimate the radome slope availably and improve the guidance system performance.