Openly accessible

Precoding-based blind separation of MIMO FIR mixtures

Yang, Liu, Xiang, Yong and Peng, Dezhong 2017, Precoding-based blind separation of MIMO FIR mixtures, IEEE access, vol. 5, pp. 12417-12427, doi: 10.1109/ACCESS.2017.2720578.

Attached Files
Name Description MIMEType Size Downloads
xiang-precodingbased-2017.pdf Published version application/pdf 2.60MB 7

Title Precoding-based blind separation of MIMO FIR mixtures
Author(s) Yang, Liu
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Peng, Dezhong
Journal name IEEE access
Volume number 5
Start page 12417
End page 12427
Total pages 11
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2017-07-02
ISSN 2169-3536
Keyword(s) blind source separation
correlated sources
MIMO FIR system
Z-domain precoding
Summary This paper focuses on the problem of blind separation of sources mixed by multi-input multi-output finite impulse response channels, which is also called convolutive blind source separation (BSS) in short. This problem has been intensively studied in the context that the sources possess certain favourable properties, such as independence and sparsity. However, these properties may not exist in some practical applications. In this paper, we propose a precoding-based convolutive BSS method, which can deal with mutually correlated sources without requiring the sources to be sparse. It is also applicable to mutually independent sources. In the proposed method, the sources are preprocessed in transmitters prior to transmission by order-one precoders. At the receiving side, the second-order statistics of the sources and the Z -domain features of the precoders are exploited to estimate the coded signals, from which the sources are recovered. Simulation results demonstrate the effectiveness of the new convolutive BSS method.
Language eng
DOI 10.1109/ACCESS.2017.2720578
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30104206

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 75 Abstract Views, 8 File Downloads  -  Detailed Statistics
Created: Thu, 02 Nov 2017, 18:18:25 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.