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

  • 제41권11호
  • /
  • Pages.1406-1409
  • /
  • 2016
  • /
  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지
DOI QR코드

DOI QR Code

블라인드 채널에서 수신 신호 분석 기법을 사용한 변조 및 채널 상태 추정 알고리즘

A Modulation and Channel State Estimation Algorithm Using the Received Signal Analysis in the Blind Channel

  • Cho, Minhwan (Department of Electronic and Communication Engineering, Hanyang University) ;
  • Nam, Haewoon (Department of Electrical Engineering, Hanyang University)
  • 투고 : 2016.10.10
  • 심사 : 2016.10.31
  • 발행 : 2016.11.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 송수신단 간 변조기법 및 채널 상태 값이 약속되지 않은 완벽한 블라인드 통신 상황에서 송신측의 변조방식을 알아내기 위해 성좌도 회전 및 확률밀도함수(probability density function : pdf)를 이용한 새로운 자율 변조 구분(Automatic modulation classification : AMC)기법과 경험적 신호 그룹화 알고리즘을 통해 채널 상태 값을 추정하는 방법을 제안한다. 평균제곱근 편차(Root mean square error : RMSE) 및 심볼 오류율(Symbol error rate : SER) 등의 모의실험을 통해 제안된 기법과 기존의 다른 기법간의 채널 상태와 변조 추정 능력을 비교 평가한다.

In this paper, we propose the heuristic signal grouping algorithm to estimate channel state value over full blind communication situation which means that there is no information about the modulation scheme and the channel state information between the transmitter and the receiver. Hereafter, using the constellation rotation method and the probability density function(pdf) the modulation scheme is determined to perform automatic modulation classification(AMC). Furthermore, the modulation type and a channel state value estimation capability is evaluated by comparing the proposed scheme with other conventional techniques from the simulation results in terms of the symbol error rate(SER) and the root mean square error (RMSE).

키워드

참고문헌

  1. R. Yongzhe, D. C. Park, and S. C. Kim, "Pilot subcarrier based channel estimation scheme in IEEE 802.11p systems," J. KICS, vol. 40, no. 5, pp. 791-798, May 2015. https://doi.org/10.7840/kics.2015.40.5.791
  2. E. Moulines, P. Duhamel, J. -F. Cardoso, and S. Mayrargue, "Subspace methods for the blind identification of multichannel FIR filters," IEEE Trans. Signal Process., vol. 43, no. 2, pp. 516-525, Feb. 1995. https://doi.org/10.1109/78.348133
  3. G. Xu, H. Liu, L. Tong, and T. Kailath, "A least-squares approach to blind channel identification," IEEE Trans. Signal Process., vol. 43, no. 12, pp. 2982-2993, Dec. 1995. https://doi.org/10.1109/78.476442
  4. E. Serpedin and G. B. Giannakis, "Blind channel identification and equalization with modulation- induced cyclostationarity," IEEE Trans. Signal Process., vol. 46, no. 7, pp. 1930-1944, Jul. 1998. https://doi.org/10.1109/78.700965
  5. Z. Zhu and A. K. Nandi, Automatic modulation classification principles, algorithms and applications, Wiley, 2015.