Multi-Modulus algorithms using Givens rotations for blind deconvolution of MIMO systems
Abstract
The issue of blind Multiple-Input and Multiple-Output (MIMO)
deconvolution of communication system is addressed. Two new
iterative Blind Source Separation (BSS) algorithms are presented
based on the minimization of Multi-Modulus (MM) criterion. A
pre-whitening filter is utilized to transform the problem in finding
a unitary beamformer matrix. Then applying iterative Givens and
Hyperbolic rotations results in Givens Multi-modulus Algorithm
(G-MMA) and Hyperbolic G-MMA (HG-MMA), respectively. Proposed
algorithms are compared with several BSS algorithms in
terms of Signal to Interference and Noise Ratio (SINR) and Symbol
Error Rate (SER) and it was shown to outperform them.