Title :
Convolutive Separation of I.I.D. Signals Based on Simultaneous Tensors Diagonalization
Author :
Rhioui, Saloua ; Moreau, Eric
Author_Institution :
ISITV, Toulon Univ., La Garde
Abstract :
This paper considers the problem of blind separation of a MIMO convolutive mixture of i.i.d. source signals. Separation criteria are considered for the overall extraction of source signals according to the use of so-called reference signals. We present a new MIMO contrast function using reference signals, which is moreover seen to have joint-diagonalization interpretation. A link with the PARAFAC decomposition is also emphasized. Finally the performance are investigated through computer simulations
Keywords :
MIMO communication; blind source separation; tensors; MIMO convolutive mixture; PARAFAC decomposition; blind separation; convolutive separation; i.i.d. source signals; reference signals; simultaneous tensors diagonalization; Blind equalizers; Computer simulation; Filters; MIMO; Matrix decomposition; Multiaccess communication; Reactive power; Source separation; Tensile stress; Transfer functions;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2006. SPAWC '06. IEEE 7th Workshop on
Conference_Location :
Cannes
Print_ISBN :
0-7803-9710-X
Electronic_ISBN :
0-7803-9711-8
DOI :
10.1109/SPAWC.2006.346340
