• DocumentCode
    3731847
  • Title

    An array processing approach to pilot decontamination for massive MIMO

  • Author

    Karthik Upadhya;Sergiy A. Vorobyov

  • Author_Institution
    Department of Signal Processing and Acoustics, Aalto University, Espoo, FI-00076 AALTO, Finland
  • fYear
    2015
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving paths based on their angle-of-arrivals. The paths corresponding to the desired user are identified based on their amplitudes and then the paths are used to form the channel estimate. Our simulations show an improved performance in terms of bit-error rate compared to the existing approaches in certain critical scenarios.
  • Keywords
    "Channel estimation","Decontamination","MIMO","Correlation","Estimation","Conferences","Arrays"
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE 6th International Workshop on
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2015.7383834
  • Filename
    7383834