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Performance Analysis of SMMA Adaptive Blind Equalization Algorithm with A Flag

Flag를 가지는 SMMA 적응 블라인드 등화 알고리즘의 성능 분석

  • 정영화 (남서울대학교 정보통신공학과)
  • Received : 2014.05.25
  • Accepted : 2014.08.08
  • Published : 2014.08.31

Abstract

In this paper, we propose a SMMA(Sliced-Multi Modulus Algorithm) adaptive blind equalization algorithm with Flag for high order QAM system. SMMA has improved characteristics by applying the multi contour to MMA. However, SMMA still has a limit that the mismatch problem causes the residual error in the steady state is large. In order to significantly reduce the residual error in the steady state, we propose SMMA, which is controlled by the binary Flag of '1 'or '0' obtained from SMMA and a decision-directed algorithm, and analyze the performance of the proposed algorithm. By computer simulation, it is confirmed that the proposed algorithm has improved performance highly in terms of a residual ISI and a residual error in the steady state compared with MMA and SMMA.

본 논문에서는 고차 QAM 시스템에서 Flag를 가지는 SMMA 적응 블라인드 등화 알고리즘을 제안한다. SMMA는 MMA를 변형하여 다중 contour를 적용함으로써 특성 향상을 얻었으나 여전히 불일치 문제로 인해 정상상태에서의 잔류 오차가 크다는 한계를 가지고 있다. 이러한 정상상태에서의 잔류 오차를 크게 줄이기 위해 우리는 SMMA와 결정지향 알고리즘으로 부터 얻어진 '1' 또는 '0'의 이진 Flag에 의해 제어되는 SMMA를 제안하고, 이 알고리즘에 대한 성능을 분석하였다. 컴퓨터 모의실험을 통하여 제안한 알고리즘이 MMA나 SMMA에 비해 정상상태에서의 잔류 심볼간 간섭과 잔류 오차등에서 크게 향상된 성능을 가짐을 확인하였다.

Keywords

References

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