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  • 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
Fast parallel factor decomposition technique for coherently distributed source localization

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所属单位:电子信息工程学院
发表刊物:JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
关键字:source localization coherently distributed (CD) source parallel factor analysis propagator method (PM) trilinear decomposition
摘要:This paper links parallel factor (PARAFAC) analysis to the problem of nominal direction-of-arrival (DOA) estimation for coherently distributed (CD) sources and proposes a fast PARAFAC-based algorithm by establishing the trilinear PARAFAC model. Relying on the uniqueness of the low-rank three-way array decomposition and the trilinear alternating least squares regression, the proposed algorithm achieves nominal DOA estimation and outperforms the conventional estimation of signal parameter via rotational technique CD (ESPRIT-CD) and propagator method CD (PM-CD) methods in terms of estimation accuracy. Furthermore, by means of the initialization via the propagator method, this paper accelerates the convergence procedure of the proposed algorithm with no estimation performance degradation. In addition, the proposed algorithm can be directly applied to the multiple-source scenario, where sources have different angular distribution shapes. Numerical simulation results corroborate the effectiveness and superiority of the proposed fast PARAFAC-based algorithm.
ISSN号:1004-4132
是否译文:否
发表时间:2018-08-01
合写作者:程骞琳,曹仁政
通讯作者:张小飞

 

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