Matrix reconstruction high accuracy DOA estimation algorithm on the Nested array

被引：1
|
作者：
Zhang X. [1 ]
Tao H. [1 ]
Sun C. [1 ]
机构：
[1] National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2017年 / 44卷 / 01期
关键词：
ESPRIT; Khatri-Rao product; Matrix reconstruction; Nested array;
D O I：
10.3969/j.issn.1001-2400.2017.01.027
中图分类号：
学科分类号：
摘要：
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. © 2017, The Editorial Board of Journal of Xidian University. All right reserved.
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收藏
页码：152 / 158
页数：6
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