• DocumentCode
    616459
  • Title

    Channel information estimation and data detection for MIMO-OFDM systems under unknown narrowband interference

  • Author

    The-Hanh Pham ; Ying-Chang Liang ; Yonghong Zeng ; Yiyang Pei ; Fengye Hu

  • Author_Institution
    Inst. for Infocomm Res., A*STAR, Singapore, Singapore
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    3958
  • Lastpage
    3963
  • Abstract
    In this paper we consider multi-input multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) based systems under unknown narrow-band interference (NBI). We propose an iterative receiver to jointly estimate the channel information, which consists of channel coefficients and noise-plus-interference variances of each sub-carrier, and detect the transmitted signals. The simulation results show that our proposed receiver provides a close bit-error-rate (BER) to that of the case where perfect channel information is available at the receiver. Besides, Cramer-Rao lower bound (CRLB) of interested parameters are also derived. The mean-square-error (MSE) of the estimated parameters given by our proposed algorithm reaches the CRLB.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; error statistics; mean square error methods; radio receivers; radiofrequency interference; BER; Cramer-Rao lower bound; MIMO-OFDM systems; MSE; bit-error-rate; channel coefficients; channel information estimation; data detection; iterative receiver; mean-square-error; multi-input multi-output orthogonal frequency-division multiplexing based systems; narrow-band interference; noise-plus-interference variances; perfect channel information; Decoding; Equalizers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6555209
  • Filename
    6555209