Paper Info
Title
A Class Of Multi-Modulus Blind Deconvolution Algorithms Using Hyperbolic And Givens Rotations For Mimo Systems
Abstract
This paper targets the blind deconvolution problem for multiple-input multiple-output communication systems, using small and moderate constellation's size signals, i.e. PSK and QAM. We introduce four different blind deconvolution algorithms based on four different techniques. These algorithms come as a natural extension of the successful work done by Shah et al in 2018 for blind source separation (BSS). The first two methods are considered as two-step based methods, where the first one performs the BSS for the spatio-temporal system followed by a pairing and sorting phase. While the second is accomplished by performing a cascaded linear equalization, using one of the existing subspace-methods, followed by the BSS routine. The third method is based on the minimization of a hybrid cost function, and the last one is a deflation-based method. These solutions summarize the main possible paths that can be followed to extend any of the existing instantaneous de-mixing algorithms. Experimental results are provided to compare and highlight the unique characteristics of each of the four different methods. (C) 2020 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2021
10.1016/j.sigpro.2020.107895
SIGNAL PROCESSING
Keywords
DocType
Volume
Blind source separation (BSS), Blind deconvolution, Multi-modulus algorithm, Givens and hyperbolic rotations, MIMO systems
Journal
183
ISSN
Citations 
PageRank 
0165-1684
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Qadri Mayyala152.11
Karim Abed-Meraim2105.40
Azzedine Zerguine334351.98