A Reiterative Superresolution Approach for Direction of Arrival Estimation with Sparse Arrays

被引：0
|
作者：
Alqadah, Hatim F. [1 ]
Scholnik, Dan P. [1 ]
机构：
[1] US Naval Res Lab, Div Radar, Code 5341, Washington, DC 20375 USA
来源：
2018 IEEE RADAR CONFERENCE (RADARCONF18) | 2018年
关键词：
DOA ESTIMATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work we present two DOA estimation approaches applied to the difference coarray (virtual array) of a nested linear array based on the reiterative superresolution (RISR) approach. The first augments RISR with a gain control technique to enhance stability with noisy virtual array data. The second is based on using RISR to estimate the virtual measurement covariance matrix with a subsequent application of the multiple signal classification (MUSIC) technique. Simulation results are presented to assess the two proposed techniques against a more established spatial smoothing MUSIC technique.
引用
收藏
页码：559 / 563
页数：5
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