2-D DOA Estimation for Coprime Cubic Array: A Cross-correlation Tensor Perspective

Abstract

In this paper, a cross-correlation coarray tensor-based 2-D direction-of-arrival (DOA) estimation method for coprime cubic array (CCA) is proposed. Since the CCA received signals characterized by two coprime tensors cannot be collectively shaped as a single tensor to operate auto-correlation, the cross-correlation is introduced to calculate the coarray tensor statistics of CCA. A Nyquist-matched 4-D coarray tensor is then obtained for 2-D DOA estimation, where the designed structured tensorization is applied without spatial smoothing. Simulation results verify the effectiveness of the proposed method.