In order to solve the problem that the tracking effect of the joint estimation of target state of traditional ra-dar and optical sensor did not take into account the influence of the accuracy of different sensors on the joint sys-tem,an indirect joint estimation method of target state based on radar and optical sensor was proposed,which im-proved the tracking performance of the joint system.In this method,the observation model of radar and optical sen-sor and the CA motion model based on non-cooperative target are established,and then an indirect joint estimation algorithm was designed based on the measurement accuracy of radar and optical sensor combined with extended Kal-man filter(EKF).Experimental simulation results showed that this method can estimate the target position,veloci-ty and acceleration more accurately than the traditional direct joint estimation method.The tracking accuracy of non-cooperative targets was effectively improved.
state trackingindirect joint estimationnon-cooperative targetsextended Kalman filter