Low Complexity Signal Detector for MIMO MCCDMA System for Longer Delay Channel

  • Authors

    • Papa Rao Challagundla
    • P Sumithabhashini
    • P Chandrasekhar Reddy
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.16121
  • Multiple-input multiple-output (MIMO), minimum mean square error (MMSE), and Code Division Multiple Accesses, Spreading gain Maximum Likelihood, Multiple Access Interference (MAI) etc.

  • In recent years Multiple-input multiple-output (MIMO) Multi carrier code division multiple access (MCCDMA), which combines the advantage of diversities with high spectral efficiency has drawn great attention. In this paper we introduce a novel low-complexity multiple-input multiple-output (MIMO) MMSE detector tailored for MCDCDMA systems, suitable for frequency selective channel. The proposed detector begins with estimation of the minimum mean square error (MMSE) on less reliable symbols followed by iterative de-correlation as post-detection processing for mitigating multiple access interferences. Efficient high-throughput VLSI architecture is used to achieve superior performance compared to the conventional MMSE detectors. The performance of the proposed MMSE detector is close to the efficient maximum likelihood, with significant complexity reduction over higher order constellations. The efficiency of MIMO MCCDMA over high order constellations and its quality retentions are verified through MATLAB BER simulation.


     

     

  • References

    1. [1] H. Atarashi, N. Maeda, S. Abeta, and M. Swahashi, “Broadband packet wireless access based on VSF-OFCDM and MC/DS-CDMA,†in Proc. of IEEE PIMRC’02, Lisbon, Portugal, Sept. 2002, pp. 992–997.

      [2] Xu H, Chizhik D, Huang H & Valenzuela R (2004) A generalized space-time multiple-input multiple-output (MIMO) channel model. IEEE Transactions on Wireless Communications 3(3): 966–975.

      [3] Gui X & Ng TS (1999) Performance of asynchronous orthogonal multicarrier CDMA system in frequency selective fading channel. IEEE Transactions on Communications 47(7): 1084–1091.

      [4] Hélard JF, Baudais JY & Citerne J (2000) Linear MMSE detection techniques for MC-CDMA. Electronics Letters 36(7): 665–666.

      [5] Hu X & Chew YH (2004) On the capacity of multi code and variable spreading gain multirate space-time block coded multicarrier CDMA systems over frequency selective Rayleigh fading channels. Proc. IEEE Vehicular Technology Conference, Los Angeles, USA, 1: 353–357.

      [6] E. P. Simon, L. Ros, H. Hijazi, and M. Ghogho, “Joint carrier frequency offset and channel estimation for OFDM systems via EM algorithm in the presence of very high mobility,†IEEE Trans. Signal Process., vol. 60, no. 2, pp. 754-765, Feb. 2012.

      [7] Muneer P. and Sameer S.M., “Pilot aided joint estimation of doubly selective channel and carrier frequency offset in high mobility OFDMA uplink,†Proc. 19th National Conference on Commun. (NCC 2013), IITDelhi, pp. 1-5, Feb. 2013.

      [8] M. N. Iqbal and M. Moinuddin, “Pilot-aided rayleigh fading channel estimation using mmse estimator for ds-cdma system,†in Multitopic Conference (INMIC), 2011 IEEE 14th International, pp. 347–350, IEEE, 2011

      [9] R. K. Morrow Jr and J. S. Lehnert, “Bit-to-bit error dependence in slotted ds/ssma packet systems with random signature sequences,†Communications, IEEE Transactions on, vol. 37, pp. 1052–1061, Oct 1989.

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  • How to Cite

    Rao Challagundla, P., Sumithabhashini, P., & Chandrasekhar Reddy, P. (2018). Low Complexity Signal Detector for MIMO MCCDMA System for Longer Delay Channel. International Journal of Engineering & Technology, 7(3.12), 423-426. https://doi.org/10.14419/ijet.v7i3.12.16121