Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation

Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation

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 n...

Full description

Bibliographic Details
Main Authors: Xiaogang Tang, Sun’an Wang, Jiong Li
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/8076468
id doaj-9d3c8d4f9c524d9b98a2656f11a43718
record_format Article
spelling doaj-9d3c8d4f9c524d9b98a2656f11a437182020-11-24T23:20:56ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/80764688076468Blind Source Separation for Complex-Valued Signals Using Generalized AutocorrelationXiaogang Tang0Sun’an Wang1Jiong Li2School of Mechanical Engineering, Xian Jiaotong University, No.28, Xianning West Road, Xi’an, Shaanxi 710049, ChinaSchool of Mechanical Engineering, Xian Jiaotong University, No.28, Xianning West Road, Xi’an, Shaanxi 710049, ChinaSchool of Space Information, Space Engineering University of PLA, No.1, Bayi Road, Huairou District, Beijing 101416, ChinaWe 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.http://dx.doi.org/10.1155/2018/8076468
collection DOAJ
language English
format Article
sources DOAJ
author Xiaogang Tang
Sun’an Wang
Jiong Li
spellingShingle Xiaogang Tang
Sun’an Wang
Jiong Li
Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
Mathematical Problems in Engineering
author_facet Xiaogang Tang
Sun’an Wang
Jiong Li
author_sort Xiaogang Tang
title Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
title_short Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
title_full Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
title_fullStr Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
title_full_unstemmed Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation
title_sort blind source separation for complex-valued signals using generalized autocorrelation
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description 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.
url http://dx.doi.org/10.1155/2018/8076468
work_keys_str_mv AT xiaogangtang blindsourceseparationforcomplexvaluedsignalsusinggeneralizedautocorrelation
AT sunanwang blindsourceseparationforcomplexvaluedsignalsusinggeneralizedautocorrelation
AT jiongli blindsourceseparationforcomplexvaluedsignalsusinggeneralizedautocorrelation
_version_ 1725573762228682752

Similar Items