Title :
New approach to blind deconvolution of single-input multiple-output linear FIR system
Author :
Li, Yushan ; Dai, Xianhua
Author_Institution :
Dept. of Electron. Eng., Shantou Univ., Guangdong, China
Abstract :
A new blind deconvolution scheme of a linear single-input multi-output (SIMO) FIR system based on the isomorphism relation between the inputs and the outputs is proposed. The research shows that the system inputs can be identified blindly using only the output measurements under some constraints on the inputs and transfer function of a linear SIMO system. It is seen that the proposed blind deconvolution scheme offers a lower computational complexity, better performance, and is more robust against the over-determination of the system order compared with some conventional schemes
Keywords :
FIR filters; computational complexity; deconvolution; filtering theory; identification; linear systems; SIMO FIR filters; SIMO linear FIR system; blind deconvolution; blind identification; computational complexity; computer simulations; convergence rate; input data sequence; isomorphism; output measurements; persistence-of-excitation; single-input multiple-output system; steady-state SNR; transfer function; Additive noise; Chromium; Computational complexity; Convergence; Deconvolution; Finite impulse response filter; Linear systems; Robustness; Statistics; Transfer functions;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983669
