A sequential processing is presented aiming at optimizing the direction of arrival(DOA)tracking performance.Firstly,current positions and Doppler frequency are estimated and a mathematical model is derived in order to clarify the effect of Doppler frequency on the estimation.The Doppler effect is employed within subspace concept in order to refine the estimation of the target position.Secondly,a renewed weight factor that depends on target maneuver is employed in order to realize more accurate association and smoothing processes.Simulation results show that the presented method has high accuracy in DOA tracking. A sequential processing is presented aiming at optimizing the direction of arrival (DOA) tracking performance. Firstly, current positions and Doppler frequency are estimated and a mathematical model is derived in order to clarify the effect of Doppler frequency on the estimation. Doppler effect is employed within subspace concept in order to refine the estimation of the target position. Secondarily, a renewed weight factor that depends on target maneuver is employed in order to realize more accurate association and smoothing processes. Simulation results show that the presented method has high accuracy in DOA tracking.