A second-order blind equalization method robust to ill-conditioned SIMO FIR channels Xiang,Y, Yang,L, Peng,D and Xie,S 2014, A second-order blind equalization method robust to ill-conditioned SIMO FIR channels, Digital Signal Processing : A Review Journal, vol. 32, pp. 57-66, doi: 10.1016/j.dsp.2014.05.015. Attached Files Name Description MIMEType Size Downloads Title A second-order blind equalization method robust to ill-conditioned SIMO FIR channels Author(s) Xiang,Y orcid.org/0000-0003-3545-7863 Yang,L Peng,D Xie,S Journal name Digital Signal Processing : A Review Journal Volume number 32 Start page 57 End page 66 Total pages 10 Publisher Elsevier Place of publication Waltham, MA. Publication date 2014-09 ISSN 1051-2004 Keyword(s) Blind equalization Blind identification Second-order statistics SIMO FIR channel Summary This paper deals with blind equalization of single-input-multiple-output (SIMO) finite-impulse-response (FIR) channels driven by i.i.d. signal, by exploiting the second-order statistics (SOS) of the channel outputs. Usually, SOS-based blind equalization is carried out via two stages. In Stage 1, the SIMO FIR channel is estimated using a blind identification method, such as the recently developed truncated transfer matrix (TTM) method. In Stage 2, an equalizer is derived from the estimate of the channel to recover the source signal. However, this type of two-stage approach does not give satisfactory blind equalization result if the channel is ill-conditioned, which is often encountered in practical applications. In this paper, we first show that the TTM method does not work in some situations. Then, we propose a novel SOS-based blind equalization method which can directly estimate the equalizer without knowing the channel impulse responses. The proposed method can obtain the desired equalizer even in the case that the channel is ill-conditioned. The performance of our method is illustrated by numerical simulations and compared with four benchmark methods. © 2014 Elsevier Inc. Language eng DOI 10.1016/j.dsp.2014.05.015 Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified Socio Economic Objective 861799 Communication Equipment not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Grant ID DP110102076 Copyright notice ©2014, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30068123 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version 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 Tue, 09 Dec 2014, 11:21:01 EST Tue, 09 Dec 2014, 13:31:51 EST Tue, 03 Mar 2015, 04:43:58 EST Tue, 03 Mar 2015, 05:04:56 EST Tue, 03 Mar 2015, 08:30:47 EST Tue, 03 Mar 2015, 08:31:35 EST Tue, 03 Mar 2015, 08:34:43 EST Sat, 17 Feb 2018, 01:30:54 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 550 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 03 Mar 2015, 04:43:58 EST

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