张小飞
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Fast parallel factor decomposition technique for coherently distributed source localization
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Affiliation of Author(s):电子信息工程学院

Journal:JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

Key Words:source localization coherently distributed (CD) source parallel factor analysis propagator method (PM) trilinear decomposition

Abstract: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 No.:1004-4132

Translation or Not:no

Date of Publication:2018-08-01

Co-author:程骞琳,曹仁政

Correspondence Author:zxf

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Professor
Supervisor of Doctorate Candidates

Alma Mater:南京航空航天大学

Education Level:南京航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:College of Electronic and Information Engineering

Discipline:Communications and Information Systems. Signal and Information Processing

Business Address:电子信息工程学院楼336

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