Joint angle and frequency estimation for linear array: an extended DOA-matrix method
Luo Chen, Xiangrui Dai, Xiaofei Zhang · Journal of Systems Engineering and Electronics · 2022
An approach for joint direction of arrival (DOA) angle and frequency estimation for a linear array is investigated in this paper. Specifically, we make the utmost of the autocorrelation and cross-correlation information to propose an extended DOA-matrix (EDOAM) method. Subsequently, we obtain the auto-paired angle and frequency estimates by the eigenvalues and the corresponding eigenvectors of the novel DOA matrix. Furthermore, the proposed method surpasses the DOA-matrix method which partly ignores the autocorrelation and cross-correlation information. Finally, the proposed method works well for both uniform and non-uniform linear arrays. The simulation consequences indicate the superiority of our proposed approach.