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    Low-complexity blind equalization for OFDM systems with general constellations

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    Type
    Article
    Authors
    Al-Naffouri, Tareq Y. cc
    Dahman, Ala A.
    Sohail, Muhammad Sadiq
    Xu, Weiyu
    Hassibi, Babak
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2012-12
    Preprint Posting Date
    2012-07-11
    Permanent link to this record
    http://hdl.handle.net/10754/562447
    
    Metadata
    Show full item record
    Abstract
    This paper proposes a low-complexity algorithm for blind equalization of data in orthogonal frequency division multiplexing (OFDM)-based wireless systems with general constellations. The proposed algorithm is able to recover the transmitted data even when the channel changes on a symbol-by-symbol basis, making it suitable for fast fading channels. The proposed algorithm does not require any statistical information about the channel and thus does not suffer from latency normally associated with blind methods. The paper demonstrates how to reduce the complexity of the algorithm, which becomes especially low at high signal-to-noise ratio (SNR). Specifically, it is shown that in the high SNR regime, the number of operations is of the order O(LN), where L is the cyclic prefix length and N is the total number of subcarriers. Simulation results confirm the favorable performance of the proposed algorithm. © 2012 IEEE.
    Citation
    Al-Naffouri, T. Y., Dahman, A. A., Sohail, M. S., Xu, W., & Hassibi, B. (2012). Low-Complexity Blind Equalization for OFDM Systems With General Constellations. IEEE Transactions on Signal Processing, 60(12), 6395–6407. doi:10.1109/tsp.2012.2218808
    Sponsors
    Manuscript received March 05, 2012; revised July 09, 2012; accepted August 28, 2012. Date of publication September 13, 2012; date of current version November 20, 2012. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Tong Zhang. This work was supported by a grant from the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum & Minerals (KFUPM) under project No. FT111004.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2012.2218808
    arXiv
    1207.2546
    Additional Links
    http://arxiv.org/abs/arXiv:1207.2546v1
    ae974a485f413a2113503eed53cd6c53
    10.1109/TSP.2012.2218808
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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