The fast blind equalization algorithm with global convergence

Authors:
Jun Lv;Tong Li;Tao Jing
Affiliations:
The Academy of Armored Forces Engineering, Beijing, China;The Academy of Armored Forces Engineering, Beijing, China;The Academy of Armored Forces Engineering, Beijing, China
Venue:
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Year:
2012

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Abstract

Blind equalization is an equalization technique but without training sequence, it can rather perform at any time the equalization directly on the data stream. This paper proposes a new blind equalization algorithm, which combines the CRIMNO algorithm and the Decision-directed algorithm (DD), and makes use of the property of orthogonal between each input data serials. So this algorithm possesses some good properties, such as fast convergence speed, global convergence, especially less remaining error. It is super to the CRIMNO algorithm in performance.