Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
Joint Authors
Tang, Xiaogang
Wang, Sun’an
Li, Jiong
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We introduce a new complex-valued blind source separation approach, based on generalized autocorrelations of sources, to improve the spectrum efficiency for the next-generation wireless communications system.
The proposed algorithm considers the temporal structures of communication signals and the natural gradient-based method is used to optimize the demixing matrix.
In addition, the local stability condition is proved.
Simulation results are presented showing the superior performance of the proposed algorithm in the intersymbol interference of the estimated signals.
American Psychological Association (APA)
Tang, Xiaogang& Wang, Sun’an& Li, Jiong. 2018. Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1209134
Modern Language Association (MLA)
Tang, Xiaogang…[et al.]. Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1209134
American Medical Association (AMA)
Tang, Xiaogang& Wang, Sun’an& Li, Jiong. Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1209134
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209134