Fast DOA estimation methods for underdetermined wideband signals with a high accuracy

被引：0

作者：

Jiang Y. ^{[1
]}

Feng M. ^{[1
]}

Xu Q. ^{[2
]}

He Y. ^{[3
]}

机构：

[1] Air Force Early Warning Academy, Wuhan

[2] Unit 94654 of the PLA, Nanjing

[3] Naval Research Academy, Beijing

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2020年 / 47卷 / 02期

关键词：

Degrees of freedom; Direction of arrival; High accuracy; Sparse array; Wideband signal;

D O I：

10.19665/j.issn1001-2400.2020.02.013

中图分类号：

学科分类号：

摘要：

In order to handle the low accuracy of the algorithm DCS-SOMP, two underdetermined wideband direction of arrival estimation methods with a high accuracy are proposed from the perspective of multiple iteration. First, the wideband signal processing model using the sparse array is established and transformed into a distributed compressive sensing problem through sparse representation. Then, the noises are eliminated through matrix transformation. After that, an algorithm utilizing proximity searching is proposed to improve the estimation accuracy and an algorithm based on the refined grid is proposed to compensate grid mismatch. Simulation results show that the proposed algorithms outperform the DCS-SOMP with a higher estimation accuracy and possess the advantage in computational speed. © 2020, The Editorial Board of Journal of Xidian University. All right reserved.

引用

页码：91 / 97and107

共 13 条

[11] Shen Q., Liu W., Cui W., Et al., Low-complexity Direction-of-arrival Estimation Based on Wideband Co-prime Arrays, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23, 9, pp. 1445-1456, (2015)
[12] Jiang Y., Wang B., Han J., Et al., Underdetermined Wideband DOA Estimation Based on Distributed Compressive Sensing, Journal of Electronics & Information Technology, 41, 7, pp. 1690-1697, (2019)
[13] Qin S., Zhang Y.D., Amin M.G., Generalized Coprime Array Configurations for Direction-of-arrival Estimation, IEEE Transactions on Signal Processing, 63, 6, pp. 1377-1390, (2015)

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