한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제33권6A호
  • /
  • Pages.599-606
  • /
  • 2008
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  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

터보코딩 및 고차변조를 적용하는 3GPP GERAN 진화 시스템: 채널 추정을 위한 TSC

3GPP GERAN Evolution System Employing High Order Modulation and Turbo Coding: TSC for Channel Estimation

  • 이종환 (동국대학교 공과대학 전자공학과) ;
  • 황은선 (인천대학교 멀티미디어시스템공학과) ;
  • 최병조 (인천대학교 멀티미디어시스템공학과) ;
  • 황승훈 (동국대학교 공과대학 전자공학과) ;
  • 최종수 (삼성전자 통신연구소)
  • 발행 : 2008.06.30
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초록

본 논문에서는 GERAN 진화 시스템의 물리계층 표준을 바탕으로 고심볼률을 지원하는 경우 제안된 트레이닝 시퀀스(Training Sequence Codes, TSC)의 채널 추정 성능을 BER및 BLER을 통해 고찰하였다. 제안된 TSC를 시스템에 적용하여 도심 채널 환경에서 모의실험을 수행하고 그 결과를 타사에서 제안한 TSC와 비교하여 성능 차이가 거의 없음을 확인하였다. 또한 동일 채널 간섭이 발생하는 상황에서 연대최소자승기법 (Joint Least Square: JLS)을 적용한 채널 추정을 적용하였을 때도 비슷한 결과를 얻었다.

In this paper, the channel estimation performance of proposed TSC (TSC-S) is investigated in terms of the BER and BLER performances when HSR is considered for GERAN evolution system. The performance is evaluated by the link level simulation and is compared with the other TSC proposal (TSC-E). Numerical results show that the performance employing the TSC-S is almost same to that using the TSC-E. In the case of cochannel interferences, the similar tendency is shown, when joint least square is adopted for channel estimation.

키워드

참고문헌

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