Blind Channel Equalization with Colored Source Based on Constrained Optimization Methods

Autor: Dayong Zhou, Victor DeBrunner, Linda DeBrunner, Yunhua Wang
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Zdroj: EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Druh dokumentu: article
ISSN: 1687-6172
1687-6180
DOI: 10.1155/2008/960295
Popis: Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly blind equalize a linear channel—a technique that has proven effective with white inputs. It is generally assumed in the literature that their CMOV method can also effectively equalize a linear channel with a colored source. In this paper, we prove that colored inputs will cause the equalizer to incorrectly converge due to inadequate constraints. We also introduce a new blind channel equalizer algorithm that is based on the CMOV principle, but with a different constraint that will correctly handle colored sources. Our proposed algorithm works for channels with either white or colored inputs and performs equivalently to the trained minimum mean-square error (MMSE) equalizer under high SNR. Thus, our proposed algorithm may be regarded as an extension of the CMOV algorithm proposed by Tsatsanis and Xu. We also introduce several methods to improve the performance of our introduced algorithm in the low SNR condition. Simulation results show the superior performance of our proposed methods.
Databáze: Directory of Open Access Journals
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