Multiple-Training LMS based Decision Feedback Equalizer with Soft Decision Feedback

연판정 귀환을 갖는 다중 훈련 LMS 기반의 결정 재입력 등화기

  • 최윤석 (삼성전자 네트워크사업부) ;
  • 박형근 (한국기술교육대학교 정보기술공학부)
  • Published : 2005.06.01

Abstract

A key issue toward mobile multimedia communications is to create technologies for broadband signal transmission that ran support high quality services. Such a broadband mobile communications system should be able to overcome severe distortion caused by time-varying multi-path fading channel, while providing high spectral efficiency and low power consumption. For these reasons, an adaptive suboptimum decision feedback equalize. (DFE) for the single-carrier short-burst transmissions system is considered as one of the feasible solutions. For the performance improvement of the system with the short-burst format including the short training sequence, in this paper, the multiple-training least mean square (MTLMS) based DFE scheme with soft decision feedback is proposed and its performance is investigated in mobile wireless channels throughout computer simulation.

이동 멀티미디어 통신에서의 주요한 요소기술 중의 하나는 높은 품질의 서비스를 제공할 수 있는 광대역 신호전송기술이다. 이와 같은 광대역 이동통신 시스템을 위해서는 높은 주파수효율과 낮은 전력소모를 가지면서 시변 다중경로 페이딩 채널에 의한 신호왜곡을 극복해야 한다 따라서 단일반송파의 짧은 버스트 데이터전송을 위한 적응적 결정귀환 등화방식이 하나의 해결책으로 고려되고 있다. 본 논문에서는 짧은 훈련심볼을 포함한 버스트신호를 갖는 시스템의 성능향상을 위하여 연판정 귀환을 갖는 MTLMS (multiple-training least mean square) 기반의 DFE(decision feedback equalizer)를 제안하고 시뮬레이션을 통하여 이동무선채널에서 그 성능을 분석한다.

Keywords

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