Abstract:In radar system, one of the most important direction of research is how to improve the accuracy of target tracking. In this study, a new algorithm, Sequential Block Kalman Filter(SBKF), was proposed based on the traditional radar tracking model, from the perspective of batch process. This algorithm jointed different state vectors together and modified the measurement equation to improve the track accuracy. It is proved by simulation that SBKF is superior in filtering precision and convergence to traditional Extended Kalman Filter(EKF). This new algorithm can obtain more stable results, and can also suppress the effect of nonlinear measurement equation and the wild value.