Vector ML focused beamforming algorithm for motion parameters estimation

For the near-field parameters estimation, the propagation delay of different target is quadratically varying with sensor location. The conventional high-resolution DOA estimation methods are no longer applicable directly. This paper deals with near-field localization problem by combining the advantages of the vector sensor array processing and maximum likelihood estimation in the condition of correlated signal, and propose the motion parameters estimation algorithm based on the vector maximum likelihood (ML) focused beamforming. The capability of vector ML focused beamforming algorithm has been validated by simulation results.