A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array. (25th May 2021)

• Record Type: Journal Article
• Authors: Wang, Guibao; Zhao, Peiyao; Wang, Lanmei; Wang, Xiangyu; Wang, Huan; Zhang, Zhongpeng
• Other Names: Dimitriou Antonis G. Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2021(2021)
• Publication Date: 2021-05-25
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2021/1654836
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that a larger array aperture can be obtained with a fixed number of array elements. In this paper, the symmetry of the noncircular signal is used to virtually expand the L-shaped array into an orthogonal cross array. Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. Decoupling and dimension reduction of elevation and azimuth are realized by a z -axis subarray and y -axis subarray. Finally, the sparse reconstruction of the signal is realized by the minimum absolute convergence and selection operator method. This method can enlarge the aperture and freedom of array and has higher accuracy and resolution of DOA estimation. It has the advantages of automatic parameter pairing without additional pairing operation and is effective for coherent and incoherent signals. The final numerical simulation results prove the effectiveness of the method in this paper.