• DocumentCode
    1835488
  • Title

    Receiver-only optimized Vector Quantization for fading channels

  • Author

    Sowmya, R. ; Murthy, C.R.

  • Author_Institution
    ECE Dept., Sir M.V.I.T, Bangalore, India
  • fYear
    2010
  • fDate
    29-31 Jan. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper considers the design and analysis of a filter at the receiver of a source coding system to mitigate the excess distortion caused due to channel errors. The index output by the source encoder is sent over a fading discrete binary symmetric channel and the possibly incorrect received index is mapped to the corresponding codeword by a Vector Quantization (VQ) decoder at the receiver. The output of the VQ decoder is then processed by a receive filter to obtain an estimate of the source instantiation. The distortion performance is analyzed for weighted mean square error (WMSE) and the optimum receive filter that minimizes the expected distortion is derived for two different cases of fading. It is shown that the performance of the system with the receive filter is strictly better than that of a conventional VQ and the difference becomes more significant as the number of bits transmitted increases. Theoretical expressions for an upper and lower bound on the WMSE performance of the system with the receive filter and a Rayleigh flat fading channel are derived. The design of a receive filter in the presence of channel mismatch is also studied and it is shown that a minimax solution is the one obtained by designing the receive filter for the worst possible channel. Simulation results are presented to validate the theoretical expressions and illustrate the benefits of receive filtering.
  • Keywords
    Rayleigh channels; filtering theory; mean square error methods; minimax techniques; radio receivers; source coding; vector quantisation; Rayleigh flat fading channel; VQ decoder; channel error; channel mismatch; distortion performance; fading discrete binary symmetric channel; minimax solution; optimum receive filter; receiver-only optimized vector quantization; source coding; source encoder; source instantiation; vector quantization decoder; weighted mean square error; Algorithm design and analysis; Decoding; Design optimization; Fading; Filters; Mean square error methods; Performance analysis; Source coding; Transmitters; Vector quantization; Rayleigh-fading channels; Vector quantization; Weighted Mean Square Error; source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2010 National Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-6383-1
  • Type

    conf

  • DOI
    10.1109/NCC.2010.5430183
  • Filename
    5430183