DOI QR코드

DOI QR Code

Estimation and Analysis of MIMO Channel Parameters using the SAGE Algorithm

SAGE 알고리즘을 이용한 MIMO 채널 파라미터 추정과 분석

  • 김주석 (한국전자통신연구원 사업화부문) ;
  • 여봉구 (현대엠시스템즈(주) 연구소) ;
  • 최홍락 (충북대학교 전파통신공학과) ;
  • 김경석 (충북대학교 전파통신공학과)
  • Received : 2017.08.14
  • Accepted : 2017.10.13
  • Published : 2017.10.31

Abstract

This paper is a multi-input multi-path (Multiple-input multiple-output: MIMO) using a space-alternating generalized expectation maximization(SAGE) algorithm in the parameter channel and determine the channel estimation performance. Estimated by the algorithm, SAGE time-varying channel environment, the channel parameters estimated from the parameters of the channel measured in the island region 781 of the band in order to compare the performance and compares the original data. This allows you to check the performance of the algorithm SAGE and is highly stable to delay spread (Delay Spread), the diffusion angle of arrival (Arrive of Angular Spread) performance in terms of accuracy down through the SAGE algorithm for estimating a more general calculation parameters.

본 논문은 다중 경로 다중입력 (Multiple-input multiple-output : MIMO) 채널에서 space alternating generalized expectation-maximization(SAGE) 알고리즘을 이용하여 채널 파라미터 추정 성능을 확인한다. 성능을 비교하기 위해 781 대역의 제주도 측정지역에서의 채널 파라미터로부터 시변 채널 환경 채널 파라미터 추정을 SAGE 알고리즘을 통해 추정하고 원본 데이터와 비교한다. 이를 통해 SAGE 알고리즘의 성능을 확인할 수 있으며 일반적인 파라미터 계산보다 SAGE 알고리즘을 통해 추정하는 것이 지연 확산(Delay Spread), 도래각 확산(Arrive of Angular Spread)이 적어 정확 측면에서 성능이 뛰어나고 안정적이다.

Keywords

References

  1. M. Matthaiou, N. Razavi-Ghods, D. I. Laurenson, S. Salous, "An insight into the estimation of MIMO propagation parameters using the SAGE algorithm," in 2nd European Conference on Antennas and Propagation, pp. 1-5, 11-16. Nov. 2007. DOI: https://doi.org/10.1049/ic.2007.1048
  2. R. O. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Antennas Propagation, vol. AP-34, pp. 276-280, Mar. 1986. DOI: https://doi.org/10.1109/tap.1986.1143830
  3. R. Roy and T. Kailath, "ESPRIT--Estimation of signal parameters via rotational invariance techniques," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 984-995, July 1989. DOI: https://doi.org/10.1117/12.55606
  4. M. Feder and E. Weinstein, "Parameter estimation of superimposed signals using the EM algorithm," IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 477-489, Apr. 1988. DOI: https://doi.org/10.1109/29.1552
  5. J. A. Fessler and A. O. Hero, "Space-alternating generalized expectation-maximization algorithm," IEEE Trans. Signal Processing, vol. 42, no. 10, pp. 2664-2677, Oct, 1994. DOI: https://doi.org/10.1109/78.324732
  6. Jung Myoung-Won, Chong Young-Jun, Pack Jeong-Ki, "Channel Correlation Analysis using MIMO Channel Measurement Parameters at Domestic 700MHz band," The journal of the Institute of Internet Broadcasting and Communication, vol. 13, no. 4, pp. 1-7, Aug. 2013. DOI: https://doi.org/10.7236/jiibc.2013.13.4.1
  7. Won-ho Jeong, Joo-Seok Kim, Myoung-Won Jung, Young-Keun Yoon, Jong-Ho Kim, Kyung-Seok Kim, "MIMO Radio Channel Measurement and Analysis at 781MHz," JIIBC, vol. 12, no. 2, pp. 181-188, April, 2012. DOI: https://doi.org/10.7236/jiwit.2012.12.2.181
  8. X. Yin, B. H. Fleury, P. Jourdan, and A. Stucki,"Polarization estimation of individual propagation pathsusing the SAGE algorithm," in Proc. the 14th IEEE 2003International Symposium on Personal, Indoor and Mobile Radio Communication, vol. 2, pp. 1795-1799, 7-10 Sep. 2003. DOI: https://doi.org/10.1109/pimrc.2003.1260424