Blind signal separation based on widely linear complex autoregressive process of order one

Abstract In this paper, the blind signal separation problem of complex baseband signal is addressed. A widely linear complex autoregressive process of order one is employed to represent the temporal structure of complex sources. We formulate a new contrast function by a convex combination of general...

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Main Authors:	Jiong Li, Yuan Qin, Menglan Fan, Xiaogang Tang, Lijuan Gao, Long Chen, Junhao Feng
Format:	Article
Language:	English
Published:	SpringerOpen 2021-02-01
Series:	EURASIP Journal on Wireless Communications and Networking
Subjects:	Blind source separation Complex auto-regressive model Generalized autocorrelation Gradient learning
Online Access:	https://doi.org/10.1186/s13638-021-01920-8

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record_format	Article
spelling	doaj-1a3f70cfe00e47808d005555105152fa2021-02-23T09:15:20ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992021-02-01202111910.1186/s13638-021-01920-8Blind signal separation based on widely linear complex autoregressive process of order oneJiong Li0Yuan Qin1Menglan Fan2Xiaogang Tang3Lijuan Gao4Long Chen5Junhao Feng6Space Engineering UniversityArmy Engineering University of PLAUnit 31102 of PLASpace Engineering UniversitySpace Engineering UniversitySpace Engineering UniversitySpace Engineering UniversityAbstract In this paper, the blind signal separation problem of complex baseband signal is addressed. A widely linear complex autoregressive process of order one is employed to represent the temporal structure of complex sources. We formulate a new contrast function by a convex combination of generalized autocorrelations and the statistics of the innovation. And the proposed contrast function is optimized by gradient method. Simulation results show that the proposed algorithm is better than the comparison algorithm in convergence speed and convergence accuracy.https://doi.org/10.1186/s13638-021-01920-8Blind source separationComplex auto-regressive modelGeneralized autocorrelationGradient learning
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Jiong Li Yuan Qin Menglan Fan Xiaogang Tang Lijuan Gao Long Chen Junhao Feng
spellingShingle	Jiong Li Yuan Qin Menglan Fan Xiaogang Tang Lijuan Gao Long Chen Junhao Feng Blind signal separation based on widely linear complex autoregressive process of order one EURASIP Journal on Wireless Communications and Networking Blind source separation Complex auto-regressive model Generalized autocorrelation Gradient learning
author_facet	Jiong Li Yuan Qin Menglan Fan Xiaogang Tang Lijuan Gao Long Chen Junhao Feng
author_sort	Jiong Li
title	Blind signal separation based on widely linear complex autoregressive process of order one
title_short	Blind signal separation based on widely linear complex autoregressive process of order one
title_full	Blind signal separation based on widely linear complex autoregressive process of order one
title_fullStr	Blind signal separation based on widely linear complex autoregressive process of order one
title_full_unstemmed	Blind signal separation based on widely linear complex autoregressive process of order one
title_sort	blind signal separation based on widely linear complex autoregressive process of order one
publisher	SpringerOpen
series	EURASIP Journal on Wireless Communications and Networking
issn	1687-1499
publishDate	2021-02-01
description	Abstract In this paper, the blind signal separation problem of complex baseband signal is addressed. A widely linear complex autoregressive process of order one is employed to represent the temporal structure of complex sources. We formulate a new contrast function by a convex combination of generalized autocorrelations and the statistics of the innovation. And the proposed contrast function is optimized by gradient method. Simulation results show that the proposed algorithm is better than the comparison algorithm in convergence speed and convergence accuracy.
topic	Blind source separation Complex auto-regressive model Generalized autocorrelation Gradient learning
url	https://doi.org/10.1186/s13638-021-01920-8
work_keys_str_mv	AT jiongli blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone AT yuanqin blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone AT menglanfan blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone AT xiaogangtang blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone AT lijuangao blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone AT longchen blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone AT junhaofeng blindsignalseparationbasedonwidelylinearcomplexautoregressiveprocessoforderone
_version_	1724254848676790272

Blind signal separation based on widely linear complex autoregressive process of order one

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