Title :
Critera for direct blind deconvolution of MIMO FIR systems driven by white source signals
Author :
Inouye, Y. ; Liu, Ruey-wen
Author_Institution :
Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan
Abstract :
This paper addresses the blind deconvolution of multi-input-multi-output (MIMO) FIR systems driven by white non-Gaussian source signals. First, we present a weaker condition on source signals than the so-called i.i.d. condition so that blind deconvolution is possible. Then, under this condition, we provide a necessary and sufficient condition for blind deconvolution of MIMO FIR systems. Finally, based on this result, we propose two maximization criteria for blind deconvolution of MIMO FIR systems. These criteria are simple enough to be implemented by adaptive algorithms
Keywords :
MIMO systems; adaptive signal processing; deconvolution; optimisation; transient response; MIMO FIR systems; adaptive algorithms; direct blind deconvolution; maximization criteria; multi-input-multi-output systems; necessary condition; sufficient condition; white nonGaussian source signals; white source signals; Adaptive algorithm; Control systems; Deconvolution; Digital communication; Equalizers; Finite impulse response filter; MIMO; Sufficient conditions; System identification; Systems engineering and theory;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.761366
