TY - GEN
T1 - Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems
AU - Shah, Syed Awais W.
AU - Abed-Meraim, Karim
AU - Al-Naffouri, Tareq Y.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2015/8/12
Y1 - 2015/8/12
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/630832
UR - http://ieeexplore.ieee.org/document/7178352/
UR - http://www.scopus.com/inward/record.url?scp=84946051809&partnerID=8YFLogxK
U2 - 10.1109/icassp.2015.7178352
DO - 10.1109/icassp.2015.7178352
M3 - Conference contribution
AN - SCOPUS:84946051809
SN - 9781467369978
SP - 2155
EP - 2159
BT - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -