Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation-Reference-Cited by-同舟云学术

Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation

Published:2018-07-12 Issue: Volume:2018 Page:1-9
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Tang Xiaogang¹²,Wang Sun’an¹,Li Jiong²^ORCID

Affiliation:

1. School of Mechanical Engineering, Xian Jiaotong University, No.28, Xianning West Road, Xi’an, Shaanxi 710049, China

2. School of Space Information, Space Engineering University of PLA, No.1, Bayi Road, Huairou District, Beijing 101416, China

Abstract

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.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2018/8076468.pdf

Reference20 articles.

1. 5G Network Capacity: Key Elements and Technologies

2. Exploiting full duplex for device-to-device communications in heterogeneous networks

3. Full-duplex mobile device: pushing the limits

4. Full duplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection

5. Digital Self-Interference Cancellation Based on Independent Component Analysis for Co-Time Co-frequency Full-Duplex Communication Systems

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