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

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Sparse Channel Estimation Based on Combined Measurements in OFDM Systems

OFDM 시스템에서 측정 벡터 결합을 이용한 채널 추정 방법

  • Min, Byeongcheon (Department of Information and Communication, Inha University) ;
  • Park, Daeyoung (Department of Information and Communication, Inha University)
  • Received : 2015.10.20
  • Accepted : 2016.01.05
  • Published : 2016.01.31
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Abstract

We investigate compressive sensing techniques to estimate sparse channel in Orthogonal Frequency Division Multiplexing(OFDM) systems. In the case of large channel delay spread, compressive sensing may not be applicable because it is affected by length of measurement vectors. In this paper, we increase length of measurement vector adding pilot information to OFDM data block. The increased measurement vector improves probability of finding path delay set and Mean Squared Error(MSE) performance. Simulation results show that signal recovery performance of a proposed scheme is better than conventional schemes.

본 논문에서는 Orthogonal Frequency Division Multiplexing(OFDM) 시스템에서 압축센싱을 이용하는 채널추정기법을 연구한다. 압축센싱은 측정벡터의 크기가 성능에 영향을 주는데, OFDM에서는 channel delay spread가 큰 경우에 압축센싱 기법을 사용하는데 제약이 된다. 본 논문에서는 채널추정 오차를 줄이기 위해서 OFDM data block에 pilot information을 추가해 측정벡터의 길이를 증가시켜 성능을 향상시킨다. 제안하는 방식이 성긴 신호의 위치를 찾을 확률을 높이고 압축센싱의 신호 복원 성능을 높인다. 모의실험을 통해 제안하는 방식이 기존 방식보다 신호 복원 능력이 더 우수함을 확인한다.

Keywords

References

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