扫描手机二维码

欢迎您的访问
您是第 位访客

开通时间:..

最后更新时间:..

  • 张小飞 ( 教授 )

    的个人主页 http://faculty.nuaa.edu.cn/xiaofeizhang/zh_CN/index.htm

  •   教授   博士生导师
  • 招生学科专业:
    信息与通信工程 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
    信息与通信工程(集成电路设计) -- 【招收博士、硕士研究生】 -- 电子信息工程学院
    电子信息 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果
Joint Two-Dimensional DOA and Frequency Estimation for L-Shaped Array via Compressed Sensing PARAFAC Method

点击次数:
所属单位:电子信息工程学院
发表刊物:IEEE ACCESS
关键字:Direction of arrival (DOA) compressed sensing frequency parallel factor (PARAFAC) L-shaped array
摘要:In this paper, we combine the compressed sensing theory with the parallel factor (PARAFAC) model to present a 2-D direction of arrival (2D-DOA) and a frequency estimation algorithm for an L-shaped array. We first build the multi-delay outputs data as the PARAFAC model, then compress it with partitioning and perform the PARAFAC decomposition through a trilinear alternating least square algorithm. Finally, we reconstruct the received data with sparsity to obtain the automatically paired 2D-DOA and frequency. The proposed algorithm is effective for both uniform and non-uniform L-shaped array, and owing to the compression process, it holds the properties of lower computational complexity and smaller capacity for data storage, compared with a traditional PARAFAC algorithm. The angle and frequency estimation performance of the proposed algorithm is close to the traditional PARAFAC method, and outperforms the estimating signal parameters via a rotational invariance techniques algorithm and a propagator method. Simulation results verify the effectiveness and superiority of our approach.
ISSN号:2169-3536
是否译文:否
发表时间:2018-01-01
合写作者:徐乐,Wu, Riheng,Shi, Zhan
通讯作者:Wu, Riheng,张小飞

 

该主页为南京航空航天大学电子信息工程学院张小飞教授个人简介