skip to main content
10.1145/3033288.3033321acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicnccConference Proceedingsconference-collections
research-article

OFDM Channel Estimation Based on Fast Approximated Power Iteration Subspace Tracking

Authors Info & Claims
Published:17 December 2016Publication History

ABSTRACT

Channel estimation is an important technique for OFDM. However, the traditional LMMSE algorithm and SVD algorithm have their own limitations in solving the problem of channel estimation. LMMSE has the highest accuracy, but the computational complexity of the algorithm is very high. Although the SVD algorithm can reduce the complexity of the algorithm, the complexity of the algorithm is not satisfactory. In addition, the SVD algorithm's requirement of storing large amounts of data has brought difficulties to the real-time processing. In this paper, we propose a fast power approximated iterative subspace tracking algorithm to achieve SVD. This algorithm greatly reduces the complexity of the computation on the basis of keeping a low bit error rate, so it has certain significance in practical engineering.

References

  1. Sharma, A. K., & Sharma, V. J,2014. Ofdm communication system. Lap Lambert Academic Publishing,2014.Google ScholarGoogle Scholar
  2. Li Y, Sollenberger N R, Winters J H, P.2010.MIMO OFDM system, US 8121022 B2{P}. 2012.Google ScholarGoogle Scholar
  3. Sathananthan, K, Nguyen, P& Lin, H. M. EP.2014. Channel estimation for a control channel in an OFDM system. US8705643.Google ScholarGoogle Scholar
  4. Li Zhen ming, Zhan Jie, and Zhao Ping, J.2010. Study on Channel Estimation in OFDM System. Microcomputer Applications, 2010.Google ScholarGoogle Scholar
  5. Shi L, Guo B L, Li X P, et al, J. 2012. A novel low complexity LMMSE channel estimation algorithm. Journal of Xi Dian University, 2012, 39(2):29--35.Google ScholarGoogle Scholar
  6. Sen, P., Aktas, T., & Yilmaz, A. O. C.2014. A Low-Complexity Graph-Based LMMSE Receiver Designed for Colored Noise Induced by FTN-Signaling. Wireless Communications and Networking Conference (WCNC), 2014 IEEE, IEEE:642--647.Google ScholarGoogle Scholar
  7. Li, Qinghua, and X. E. Lin. Singular value decomposition beamforming for a multiple-input-multiple-output communication system. US, US8483761. 2013.Google ScholarGoogle Scholar
  8. Hua Y, Xiang Y, Chen T, K Abed and Miao Y, J.1999. A New Look at the Power Method for Fast Subspace Tracking. Digital Signal Processing, 1999, 9(4):297--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Lian Zhu-xian, Yu Jiang, Chang Jun, XU Li-min, Chang Feng, J. 2013. An algorithm of channel estimation based on eigenvalue decomposition. Journal of Yunnan University,2013,35(5): 616- 620Google ScholarGoogle Scholar
  10. Zq Wei, Bu Chun-Xia, J. 2012. "Fast Power Method for Subspace Tracking". Mathematics in Practice & Theory, 2012.Google ScholarGoogle Scholar
  11. Roland Badeau, Bertrand David, and Gaël Richard, J 2005"Fast Approximated Power Iteration Subspace Tracking" IEEE TRANSACTIONS ON SIGNAL PROCESSING, 53(8), AUGUST 2005 Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICNCC '16: Proceedings of the Fifth International Conference on Network, Communication and Computing
    December 2016
    343 pages
    ISBN:9781450347938
    DOI:10.1145/3033288

    Copyright © 2016 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 17 December 2016

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader