An Improved Symbol Offset Estimation Technique in OFDM-based Wireless LANs

OFDM 기반 무선 LAN에서의 개선된 심볼옵셋 추정기법

  • 전원기 (전자부품연구원 뉴미디어통신 연구센터) ;
  • 조용수 (중앙대학교 전자전기공학부 디지털통신 연구실)
  • Published : 2002.01.01

Abstract

In this paper, we propose a new symbol offset estimation technique for an orthogonal frequency-division multiplexing (OFDM)-based wireless LAN. When both inter-symbol interference (ISI) and inter-channel interference (ICI) do not exist in an OFDM symbol, symbol offsets cause circular shifts in the estimated channel impulse response (CIR) by the amount of symbol offset. Also, the power delay profile of a typical multipath wireless channel can be modeled by exponentially decaying function, and most energy of multipath channel is concentrated at the beginning part of the CIR. Based on these properties, the proposed symbol offset estimation technique estimates the CIR, which is circularly shifted by the amount of symbol offset, and then calculates the partial mean power from the estimated impulse response by using a moving window with a finite length. And, symbol offset can be estimated from the index of a moving window having the maximal partial mean power. The proposed technique can reduce noise effect in the process of the CIR estimation, and remove ISI and ICI using repetitive training symbol structure in time-domain for minimum training overhead. The performances of the proposed symbol offset estimation technique in typical indoor channels are demonstrated by computer simulation.

본 논문에서는 OFDM(Orthogonal Frequency-Division Multiplexing) 기반의 무선 LAN 시스템을 위한 새로운 심볼 옵셋 추정기법을 제안한다. OFDM 심볼에 심볼간 간섭(Inter-Symbol Interference: ISI)과 채널간 간섭(Inter-Channel Interference: ICI)이 없는 경우 추정된 채널의 임펄스 응답은 심볼 옵셋만큼 순환 이동한다. 전형적인 다중경로 무선채널의 전력 지연 프로파일은 지수적 감소 함수로 모델링 할 수 있으며 대부분의 에너지가 임펄스 응답의 앞부분에 주로 집중된다. 제안된 기법은 이러한 성질을 이용하여 먼저 심볼 옵셋만큼 순환 이동된 다중 경로 채널의 임펄스 응답을 추정한 후 유한 길이의 이동 윈도우를 사용하여 임펄스 응답의 부분 평균 전력을 구한다. 그리고, 부분 평균 전력 중에서 최대값을 갖는 이동 윈도우의 인덱스로부터 심볼 옵셋을 추정한다. 제안된 기법은 임펄스 응답의 추정 과정에서 잡음의 영향을 감소시키고, ISI와 ICI를 제거시키며 최소의 오버헤드를 얻기 위해 반복적 구조의 훈련 신호를 사용한다. 실내 무선 채널 모델에서의 모의실험을 통해 제안된 기법의 성능을 검증한다.

Keywords

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