DocumentCode :
2322404
Title :
MIMO Volterra filter equalization using pth-order inverse approach
Author :
Yangwang, Fang ; Licheng, Jiao ; Jin, Pan
Author_Institution :
Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
177
Abstract :
The equalization of nonlinear systems is an important application of Volterra filters. The pth-order inverse is one of the important approaches of Volterra equalization, but up to the present it has only been applied to the single-input multiple-output (SISO) case. The convergence of the Volterra filter equalization and the error bound using the pth-order approximation equalizer instead of the Volterra equalizer have not yet been reported. In this paper, we generalize this method to the multi-input and multi-output (MIMO) Volterra filter case, and discuss the convergence of Volterra filter equalization and the error bound using the pth-order approximation equalizer instead of the Volterra equalizer. The concept of local I2 stability for the MIMO Volterra filter is first introduced, and then the algorithmic formula of the pth-order inverse is presented by using the multi-dimensional z-transform. In the end, the convergence of the MIMO Volterra filter equalization and the error bound using the pth-order approximation equalizer instead of the Volterra equalizer are discussed. The proposed algorithms are corroborated with a simulation example
Keywords :
MIMO systems; Volterra series; convergence of numerical methods; equalisers; inverse problems; nonlinear filters; MIMO Volterra filter equalization; Volterra equalization; convergence; error bound; local I2 stability; multi-dimensional z-transform; multi-input and multi-output Volterra filter; nonlinear systems; pth-order approximation equalizer; pth-order inverse approach; Approximation algorithms; Blind equalizers; Control systems; Convergence; MIMO; Magnetic recording; Magnetic separation; Nonlinear systems; Symmetric matrices; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1520-6149
Print_ISBN :
0-7803-6293-4
Type :
conf
DOI :
10.1109/ICASSP.2000.861905
Filename :
861905
Link To Document :
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