Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems

Author

Shah, Syed Awais W. ; Abed-Meraim, Karim ; Al-Naffouri, Tareq Y.

Author_Institution

King Fahd Univ. of Pet. & Miner. (KFUPM), Dhahran, Saudi Arabia

fYear

2015

fDate

19-24 April 2015

Firstpage

2155

Lastpage

2159

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 into 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.

Keywords

MIMO communication; array signal processing; blind source separation; deconvolution; error statistics; filtering theory; hyperbolic equations; iterative methods; minimisation; Givens multimodulus algorithm; HG-MMA; MIMO system; SER; SINR; blind deconvolution; hyberbolic rotation; hyperbolic G-MMA; iterative BSS algorithm; iterative Givens rotations; iterative blind source separation; multimodulus criterion minimization; multiple input multiple output; prewhitening filter; signal to interference and noise ratio; symbol error rate; unitary beamformer matrix; Deconvolution; Jacobian matrices; Signal to noise ratio; Givens and Hyperbolic rotations; blind source separation; constant modulus algorithm; multi-modulus algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7178352

Filename

7178352