Underdetermined Low-Complexity Wideband DOA Estimation with Uniform Linear Arrays

被引:10
作者
Wu, Hantian [1 ]
Shen, Qing [1 ]
Liu, Wei [2 ]
Cui, Wei [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England
来源
2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2020年
基金
中国国家自然科学基金;
关键词
OF-ARRIVAL ESTIMATION; COPRIME ARRAY; NESTED ARRAYS; COARRAY;
D O I
10.1109/sam48682.2020.9104283
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For a uniform linear array (ULA) with specially designed spacing and system settings, the received signals are first decomposed into different frequency bins via discrete Fourier transform (DFT). By grouping the frequencies of interest into several pairs, a generalized complexity reduction method is proposed to merge the redundant entries in both the auto-correlation matrices at each frequency and the cross-correlation matrices across different frequencies, followed by the group sparsity based low-complexity method to find the directions of arrival (DOAs) of the impinging signals. Simulation results demonstrate that significantly reduced complexity and improved performance can be achieved by the proposed method.
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页数:5
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