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基于压缩感知DOA估计的稀疏阵列设计

刘朋露 杨洁

电讯技术2017,Vol.57Issue(4):382-386,5.
电讯技术2017,Vol.57Issue(4):382-386,5.DOI:10.3969/j.issn.1001-893x.2017.04.002

基于压缩感知DOA估计的稀疏阵列设计

Design of Sparse Arrays Based on Compressive Sensing DOA Estimation

刘朋露 1杨洁1

作者信息

  • 1. 西安邮电大学 通信与信息工程学院,西安 710121
  • 折叠

摘要

Abstract

According to the method of optimizing measurement matrix through Gram matrix,a sparse array design method for uniform linear array(ULA) based on compressive sensing direction of arrival(DOA) estimation is proposed.Without compressive sampling,this method can draw the DOA estimation results through the sparse recovery algorithm by using the output data of sparse array directly.The experimental simulation results show that,especially under the condition of less array elements and lower signal-to-noise ratio(SNR),this method has a better performance of DOA estimation compared with the original ULA.

关键词

压缩感知/测量矩阵/格拉姆矩阵/稀疏布阵/波达方向估计

Key words

compressive sensing/measurement matric/Gram matrix/sparse array/DOA estimation

分类

信息技术与安全科学

引用本文复制引用

刘朋露,杨洁..基于压缩感知DOA估计的稀疏阵列设计[J].电讯技术,2017,57(4):382-386,5.

基金项目

国家自然科学基金青年科学基金资助项目(61402365) (61402365)

陕西省科技攻关计划(2013K06-33) (2013K06-33)

电讯技术

OA北大核心CSTPCD

1001-893X

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