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Blind Algorithms with Decision Feedback based on Zero-Error Probability for Constant Modulus Errors
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 Title & Authors
Blind Algorithms with Decision Feedback based on Zero-Error Probability for Constant Modulus Errors
Kim, Nam-Yong; Kang, Sung-Jin;
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The constant modulus algorithm (CMA) widely used in blind equalization applications minimizes the averaged power of constant modulus error (CME) defined as the difference between an instant output power and a constant modulus. In this paper, a decision feedback version of the linear blind algorithm based on maximization of the zero-error probability for CME is proposed. The Gaussian kernel of the maximum zero-error criterion is analyzed to have the property to cut out excessive CMEs that may be induced from severely distorted channel characteristics. Decision feedback approach to the maximum zero-error criterion for CME is developed based on the characteristic that the Gaussian kernel suppresses the outliers and this prevents error propagation to some extent. Compared to the linear algorithm based on maximum zero-error probability for CME in the simulation of blind equalization environments, the proposed decision feedback version has superior performance enhancement particularly in cases of severe channel distortions.
Constant modulus error;Decision Feedback;Blind equalizer;Zero-error probability;
 Cited by
상수 모듈러스 오차의 반복적 확률추정에 기반한 결정궤환 등화,김남용;

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