A direction of arrival (DOA) tracking algorithm via Kalman filter and orthonorma l projection approximation and subspace tracking of deflation (OPASTd) for acous tic vector-sensor array is proposed based on the investigation of target tracking. The proposed algorithm uses OPASTd algorithm to track DOA, thus overcoming the destroyed orthogonality of signal subspace of PASTd algorithm. The reasons for this defelt are: Firstly, the vibrated and non-convergent PASTd algorithm leads to data compression in some cases; secondly, the PASTd algorithm produces error accumulation by the inaccuracy of eigenvectors during iterative update. The proposed algorithm can estimate angle and contact data, which has a better DOA tracking performance than traditional PASTd algorithm. Simulation results verify the usefulness of the proposed algorithm.