Fast parallel factor decomposition technique for coherently distributed source localization

doi:10.21629/JSEE.2018.04.01

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (4): 667-675.doi: 10.21629/JSEE.2018.04.01

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收稿日期:2017-03-24 出版日期:2018-08-01 发布日期:2018-08-30

Fast parallel factor decomposition technique for coherently distributed source localization

Qianlin CHENG(), Xiaofei ZHANG*(), Renzheng CAO()

College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2017-03-24 Online:2018-08-01 Published:2018-08-30
Contact: Xiaofei ZHANG E-mail:chengqianlin_nuaa@163.com;fei_zxf@163.com;caorenzheng@nuaa.edu.cn
About author:CHENG Qianlin was born in 1993. She received her B.S. degree from the College of Electronic and Information Engineering of Nanjing University of Aeronautics and Astronautics, Nanjing, China in 2015, where she is currently pursing her Ph.D. degree. Her research interests include array signal processing, distributed source localization, etc. E-mail: chengqianlin_nuaa@163.com|ZHANG Xiaofei was born in 1977. He received his Ph.D. degree in communication and information systems from Nanjing University of Aeronautics and Astronautics in 2005. Now, he is a professor in the Electronic Engineering Department, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research focuses on array signal processing and communication signal processing. E-mail: fei_zxf@163.com|CAO Renzheng was born in 1991. He received his B.S. degree from the College of Electronic and Information Engineering of Nanjing University of Aeronautics and Astronautics, Nanjing, China in 2012. He is currently pursing his Ph.D. degree in the College of Electronic and Information Engineering of Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include array signal processing, radar signal processing, wireless communication, etc. E-mail: caorenzheng@nuaa.edu.cn
Supported by:
the National Natural Science Foundation of China(61371169);the National Natural Science Foundation of China(61601167);the Jiangsu Natural Science Foundation(BK20161489);the open research fund of State Key Laboratory of Millimeter Waves, Southeast University(K201826);the Fundamental Research Funds for the Central Universities(NE2017103);This work was supported by the National Natural Science Foundation of China (61371169; 61601167), the Jiangsu Natural Science Foundation (BK20161489), the open research fund of State Key Laboratory of Millimeter Waves, Southeast University (K201826), and the Fundamental Research Funds for the Central Universities (NE2017103)

摘要/Abstract

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 PARAFACbased 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.

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

. [J]. Journal of Systems Engineering and Electronics, 2018, 29(4): 667-675.

Qianlin CHENG, Xiaofei ZHANG, Renzheng CAO. Fast parallel factor decomposition technique for coherently distributed source localization[J]. Journal of Systems Engineering and Electronics, 2018, 29(4): 667-675.

图/表 11

参考文献 34

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Fast parallel factor decomposition technique for coherently distributed source localization

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