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[Author] Kuei-Chiang LAI(2hit)

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  • Detection Algorithms for FBMC/OQAM Spatial Multiplexing Systems

    Kuei-Chiang LAI  Chi-Jen CHEN  

     
    PAPER-Wireless Communication Technologies

      Pubricized:
    2021/03/22
      Vol:
    E104-B No:9
      Page(s):
    1172-1187

    In this paper, we address the problem of detector design in severely frequency-selective channels for spatial multiplexing systems that adopt filter bank multicarrier based on offset quadrature amplitude modulation (FBMC/OQAM) as the communication waveforms. We consider decision feedback equalizers (DFEs) that use multiple feedback filters to jointly cancel the post-cursor components of inter-symbol interference, inter-antenna interference, and, in some configuration, inter-subchannel interference. By exploiting the special structures of the correlation matrix and the staggered property of the FBMC/OQAM signals, we obtain an efficient method of computing the DFE coefficients that requires a smaller number of multiplications than the linear equalizer (LE) and conventional DFE do. The simulation results show that the proposed detectors considerably outperform the LE and conventional DFE at moderate-to-high signal-to-noise ratios.

  • Frequency-Domain Iterative Block DFE Using Erasure Zones and Improved Parameter Estimation

    Jian-Yu PAN  Kuei-Chiang LAI  Yi-Ting LI  Szu-Lin SU  

     
    PAPER-Wireless Communication Technologies

      Pubricized:
    2021/03/22
      Vol:
    E104-B No:9
      Page(s):
    1159-1171

    Iterative block decision feedback equalization with hard-decision feedback (HD-IBDFE) was proposed for single-carrier transmission with frequency-domain equalization (SC-FDE). The detection performance hinges upon not only error propagation, but also the accuracy of estimating the parameters used to re-compute the equalizer coefficients at each iteration. In this paper, we use the erasure zone (EZ) to de-emphasize the feedback values when the hard decisions are not reliable. EZ use also enables a more accurate, and yet computationally more efficient, parameter estimation method than HD-IBDFE. We show that the resulting equalizer coefficients share the same mathematical form as that of the HD-IBDFE, thereby preserving the merit of not requiring matrix inverse operations in calculating the equalizer coefficients. Simulations show that, by using the EZ and the proposed parameter estimation method, a significant performance improvement over the conventional HD-IBDFE can be achieved, but with lower complexity.