A space-time processing approach to joint estimation of signal frequency and 2-D direction of arrival

In this paper, a new method is proposed for joint estimation of the signal frequencies and 2D direction of arrival. The method uses temporal data and spatial data to form a time-space DOA matrix, and the three parameters could be obtained from the eigenvalues and the corresponding eigenvectors of the time-space DOA matrix respectively. Without spectral search, the method is computationally efficient and the estimates of the three parameters are automatically paired. In addition, the method is able to estimate more sources than the number of sensors, and the subarray geometry is flexible so accurate estimations can be obtained by using an appropriate subarray geometry. Simulation results show that the proposed method is effective.