A Study on Performance Improvement of Mobile Rake Finger for Multirate

Multirate를 위한 이동국 Rake Finger의 성능 개선에 관한 연구

  • Kim, Jong-Youb (Dept. of Electronic Engineering Graduate School of Wonkwang University) ;
  • Lee, Seon-Keun (Dept. of Electronic Engineering Graduate School of Wonkwang University) ;
  • Park, Hyoung-Keun (Dept. of Electronic Engineering Graduate School of Wonkwang University) ;
  • Park, Hwan-Young (Dept. of Electronic Engineering Graduate School of Wonkwang University)
  • 김종엽 (圓光大學校 電子工學科) ;
  • 이선근 (圓光大學校 電子工學科) ;
  • 박형근 (圓光大學校 電子工學科) ;
  • 김환용 (圓光大學校 電子工學科)
  • Published : 2001.12.01

Abstract

In this paper, we proposed the new structure of the Rake Finger using Walsh Switch, the shared accumulator, and the pipeline FWHT(Fast Walsh Hadamard Transform) algorithm for reducing the signal processing complexity resulting from the increase of the number of data correlators. The function simulation of the proposed architecture is performed by Synopsys tool and the timing simulation is performed by Compass tool. The number of computational operation in the proposed data correlators is 160 additions and the conventional ones is 512 additions when the number of walsh code channels is 4. As a result, it is reduced about 3.2 times other than the number of computational operation of the conventional ones. Also, the result shows that the data processing time of the proposed Rake Finger architecture is 90,496[ns] and the conventional ones is 110,696[ns]. It is 18.3% faster than the data processing time of the conventional Rake Finger architecture.

IMT-2000의 무선접속 기술 요소 중 multirate을 위한 Multi-Code(MC) CDMA 시스템의 이동국 Rake 수신기는 다수의 채널로 전송된 신호들을 동시에 복조해야 하므로 Rake Finger에서 트래픽 채널을 복조하는 데이터 상관기의 수가 왈쉬 코드 채널의 수만큼 증가하게 되어 신호처리의 복잡도가 증가되는 단점을 갖게 된다. 본 논문에서는 데이터 상관기들의 증가로 인한 데이터 처리시간 지연을 감소시키기 위해 Walsh Switch, 공유 accumulator, 그리고 파이프라인 FWHT(Fast Walsh Hadamard Transform) 알고리즘을 적용한 새로운 Rake Finger 구조를 제안했다. 컴퓨터 시뮬레이션 결과 왈쉬 코드 채널의 수 에 대한 데이터 상관기의 연산 동작 수는 512 additions에서 160 additions로 약 3.2배 감소하였고, Rake Finger의 데이터 처리시간은 110,696[ns]에서 90,496[ns]로 18.3% 감소하였음을 확인하였다.

Keywords

References

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