WANG Dan, LIU Hailin, YANG Junjie, “A Residual Carrier Tolerant QAM Receiver Architecture Based on Time-Varying Blind Source Separation,” Chinese Journal of Electronics, vol. 25, no. 6, pp. 1040-1044, 2016, doi: 10.1049/cje.2016.10.019
Citation: WANG Dan, LIU Hailin, YANG Junjie, “A Residual Carrier Tolerant QAM Receiver Architecture Based on Time-Varying Blind Source Separation,” Chinese Journal of Electronics, vol. 25, no. 6, pp. 1040-1044, 2016, doi: 10.1049/cje.2016.10.019

A Residual Carrier Tolerant QAM Receiver Architecture Based on Time-Varying Blind Source Separation

doi: 10.1049/cje.2016.10.019
Funds:  This work is supported by the Natural Science Foundation of Guangdong Province (No.2014A030313507, No.2014A030310257) and the Projects of Science and Technology of Guangzhou (No.2014J4100209, No.201508010008).
  • Received Date: 2014-05-20
  • Rev Recd Date: 2014-08-16
  • Publish Date: 2016-11-10
  • In case of Quadrature amplitude modulated (QAM) transmission, the residual carrier affects the quality of the received signal. We show that the carrier tracking problem is equivalent to a time-varying Blind source separation (BSS) problem if there exists a residual carrier. This motivates us to propose a new receiver architecture, that is tolerant to residual carrier, based on a Recursive least squares (RLS) BSS algorithm. Simulations are provided to show the promising performance of the proposed algorithm for tracking the residual carrier and for improving the quality of the received signal.
  • loading
  • H. Sari and S. Moridi, "New phase and frequency detectors for carrier recovery in PSK and QAM systems," IEEE Transactions on Communications, Vol.36, No.9, pp.1035-1043, 1988.
    G. Zhou, Z. Yang, S. Xie, et al., "Online blind source separation using incremental nonnegative matrix factorization with volume constraint," IEEE Transactions on Neural Networks, Vol.22, No.4, pp.550-560, 2011.
    Z. He, S. Xie, S. Ding, et al., "Convolutive blind source separation in frequency domain based on sparse representation," IEEE Transactions on Audio, Speech and Language Processing, Vol.15, No.5, pp.1551-1563, 2007.
    Z. Yang, G. Zhou, S. Xie, et al., "Blind spectral unmixing based on sparse nonnegative matrix factorization," IEEE Transactions on Image Processing, Vol.20, No.4, pp.1112-1125, 2011.
    S. Abrar and A.K. Nandi, "Adaptive solution for blind equalization and carrier-phase recovery of square-QAM," IEEE Signal Processing Letters, Vol.17, No.9, pp.791-794, 2010.
    I. Kostanic and W. Mikhael, "Independent component analysis based QAM receiver," Digital Signal Processing, Vol.14, No.3, pp.241-252, 2004.
    L. He, T. Thaiupathump and S.A. Kassam, "Blind separation of complex I/Q independent sources with phase recovery," IEEE Signal Processing Letters, Vol.12, No.5, pp.419-422, 2005.
    P. Xu and Y. Shen, "A fast algorithm for blind separation of complex valued signals with nonlinear autocorrelation," Journal of Communications, Vol.10, No.3, pp.170-177, 2015.
    J.F. Cardoso and B. Laheld, "Equivariant adaptive source separation," IEEE Transactions on Signal Processing, Vol.44, No.12, pp.3017-3030, 1996.
    J.A. Chambers, M.G. Jafari and S. McLaughlin, "Variable stepsize EASI algorithm for sequential blind source separation," Electronics Letters, Vol.40, No.6, pp.393-394, 2004.
    C. Ji, B. Tang, K. Yang, et al., "Improved blind source separation based on non-holonomic natural gradient algorithm with variable step size," Lecture Notes in Electrical Engineering, Vol.256, pp.761-767, 2013.
    H. Nakajima, K. Nakadai, Y. Hasegawa, et al., "Blind source separation with parameter-free adaptive step-size method for robot audition," IEEE Transactions on Audio, Speech, and Language Processing, Vol.18, No.6, pp.1476-1485, 2010.
    Y. Chen, X. Wen and C. Zhang, "Research and application of step length selection of natural gradient algorithm used in aircraft engine vibration blind signal separation," International Journal of Advancements in Computing Technology, Vol.4, No.9, pp.307-314, 2012.
    Q. Lv, X. Zhang and Y. Jia, "Kalman filtering algorithm for blind source separation," Proc. of the International Conferences on Audio, Speech and Signal Processing, Pennsylvania, USA, pp.257-260, 2005.
    X. Tang, J. Ye and X. Zhang, "On the convergence of ICA algorithms with weighted orthogonal constraint," Digital Signal Processing, Vol.28, No.1, pp.39-47, 2014.
    S. Haykin, Adaptive Filter Theory, 3rd ed., Englewood Cliffs, NJ: Prentice Hall, 1996.
    D.Z. Feng and W.X. Zheng, "Fast RLS-type algorithm for unbiased equation-error adaptive IIR filtering based on approximate inverse-power iteration," IEEE Transactions on Signal Processing, Vol.53, No.11, pp.4169-4185, 2005.
    K. Xie, Z. He and A. Cichocki, "Convergence analysis of the FOCUSS algorithm," IEEE Transactions on Neural Networks and Learning Systems, Vol.26, No.3, pp.601-613, 2015.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (427) PDF downloads(512) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return