Title :
Orthogonal minimum noise subspace for multiple-input multiple-output system identification
Author :
Safavi, Anahid ; Abed-Meraim, Karim
Author_Institution :
Telecom Paris, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
This contribution deals with a particular family of blind system identification techniques, referred to as minimum noise subspace (MNS) method. The MNS method is a computationally fast version of the subspace method. We develop an orthogonal version of MNS method. The orthogonal minimum subspace (OMNS) method is more efficient in computation than a standard subspace method, and is more robust to channel noise than MNS
Keywords :
MIMO systems; computational complexity; identification; noise; telecommunication channels; MIMO system identification; channel noise robustness; computation complexity; computer simulations; estimation accuracy; minimum noise subspace; multiple-input multiple-output system identification; orthogonal minimum noise subspace; orthogonal minimum subspace method; stationary time series; Concurrent computing; Covariance matrix; Finite impulse response filter; Integrated circuit modeling; MIMO; Noise robustness; Signal to noise ratio; System identification; Telecommunications; Transfer functions;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955278
