Research on Adaptive Tracking Algorithm of Maneuvering Target

Adaptive tracking algorithm based on Current Statistical Model (CS) has greater errors in tracking a moving target with constant speed, and has larger defects in estimating speed and acceleration errors as well as dynamic performances of accelerated moving target. In order to overcome the above mentioned disadvantages, a modified adaptive tracking algorithm of moving target was presented. In this algorithm, normal distribution was taken as moving acceleration characteristics, and speed of wind and mean value of current acceleration estimate were considered. The relation of maneuvering acceleration and its covariance was adjusted so as to compensate noise covariance matrix of self-adaptive procedure. Theoretical analysis and simulation results showed that this algorithm can describe all kinds of target maneuvering motion under the conditions of various courses, and has better tracking performances and practical application value.