Aiming at maneuvering targets, a state estimation model with arborous radar and infrared seeker fusion algorithm
is presented based on the infrared irradiation and the Doppler velocity. An adaptive fusion algorithm of two different infrared
seekers based on unscented Kalman filters is presented, which results are fused with the measurement of a active radar sensor
sequentially to estivate the final target state based on interacting multiple model. The simulation results through tracking a
high-maneuvering target show that the error of distance estimate of arborous fusion algorithm is smaller than that of other
algorithms, and the fusion algorithm has good precision and performance.