Nested阵列的矩阵重构高精度DOA估计算法

doi:10.3969/j.issn.1001-2400.2017.01.027

Abstract

Abstract:

For the nested array, the covariance matrix of the receiving data is pulled into a column vector by using the Khatri-Rao product, which is equivalent receiving data turned into the single snapshot. In the case of the covariance matrix being vectored, a new matrix reconstruction is presented to build up the rank of the new covariance matrix and the ESPRIT algorithm of an improved matrix reconstruction is proposed in this paper. The covariance matrix on the virtual array will be restored and more matrices can be reconstructed by using this approach.Then, the DOA estimation is obtained based on the ESPRIT algorithm of matrix reconstruction. Simulation results demonstrate that the proposed method achieves accurate DOA estimation when the number of targets is larger than that of array elements.

ZHANG Xiaofeng;TAO Haihong;SUN Chenwei. Matrix reconstruction high accuracy DOA estimation algorithm on the Nested array[J].Journal of Xidian University, 2017, 44(1): 152-158.

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Matrix reconstruction high accuracy DOA estimation algorithm on the Nested array

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