Novel Z-Domain precoding method for blind separation of spatially correlated signals Xiang, Yong, Peng, Dezhong, Xiang, Yang and Guo, Song 2013, Novel Z-Domain precoding method for blind separation of spatially correlated signals, IEEE transactions on neural networks and learning systems, vol. 24, no. 1, pp. 94-105, doi: 10.1109/TNNLS.2012.2224671. Attached Files Name Description MIMEType Size Downloads Title Novel Z-Domain precoding method for blind separation of spatially correlated signals Author(s) Xiang, Yong orcid.org/0000-0003-3545-7863 Peng, Dezhong Xiang, Yang orcid.org/0000-0001-5252-0831 Guo, Song Journal name IEEE transactions on neural networks and learning systems Volume number 24 Issue number 1 Start page 94 End page 105 Total pages 12 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2013 ISSN 2162-237X 2162-2388 Keyword(s) blind source separation correlated sources second-order statistics Z-domain precoding Summary In this paper, we address the problem of blind separation of spatially correlated signals, which is encountered in some emerging applications, e.g., distributed wireless sensor networks and wireless surveillance systems. We preprocess the source signals in transmitters prior to transmission. Specifically, the source signals are first filtered by a set of properly designed precoders and then the coded signals are transmitted. On the receiving side, the Z-domain features of the precoders are exploited to separate the coded signals, from which the source signals are recovered. Based on the proposed precoders, a closed-form algorithm is derived to estimate the coded signals and the source signals. Unlike traditional blind source separation approaches, the proposed method does not require the source signals to be uncorrelated, sparse, or nonnegative. Compared with the existing precoder-based approach, the new method uses precoders with much lower order, which reduces the delay in data transmission and is easier to implement in practice. Language eng DOI 10.1109/TNNLS.2012.2224671 Field of Research 090609 Signal Processing Socio Economic Objective 890104 Mobile Telephone Networks and Services HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2013, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30053656 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 12 Jul 2013, 15:37:55 EST Mon, 15 Jul 2013, 10:54:22 EST Thu, 28 Nov 2013, 13:42:55 EST Fri, 13 Jun 2014, 17:40:43 EST Wed, 27 Aug 2014, 23:34:10 EST Tue, 03 Feb 2015, 13:31:15 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 695 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Fri, 12 Jul 2013, 15:37:55 EST