블라인드 등화의 정상상태 성능개선을 위한 수렴상수 가변 알고리즘

다국어 초록 (Multilingual Abstract)

For blind equalization algorithms with excellent convergence characteristics, the steady-state performance is not the case. In this paper, for blind equalization, as a way to solve the problems of the methods commonly used to improve the steady-state performance, a scheme for variable step-size is proposed. In the proposed approach, as the equalizer converges to steady-state, the step-size is varied, and is decreased consistently as iteration proceeds in the steady-state. The proposed algorithm has improved the steady-state performance of the equalizer without compromising the initial convergence characteristics of the equalizer. The proposed method, applied to the algorithms with good blind convergence characteristics, is fit to improve the steady-state performance as well as making it easier to be combined with other algorithms by improving its steady-state performance. The proposed idea is applied to the constant modulus algorithm (CMA), then its performance improvement is confirmed under multipath propagation channel and higher-order QAM constellations.

참고문헌 (Reference)

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