Performance analysis of sampling-based turbo coded NCQFSK for image data transmission

  • Authors:
  • Junghuwan Kim;Pooja Raorane;Mona Nasseri;Mansoor Alam

  • Affiliations:
  • University of Toledo, Toledo, Ohio;University of Toledo, Toledo, Ohio;University of Toledo, Toledo, Ohio;University of Toledo, Toledo, Ohio

  • Venue:
  • Proceedings of the 46th Annual Simulation Symposium
  • Year:
  • 2013

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Abstract

In this paper, we propose the efficient turbo code metric calculation methodology for noncoherent Quaternary Frequency Shift Keying (NCQFSK) which is suitable for sampling--based computer simulation. In its branch metric calculation for turbo coded NCQFSK under AWGN, four decision statistics having either Rician or Rayleigh probability density functions must be accounted for in the decoding process. In this regard, this paper clarifies the mathematical details of utilizing the four NCQFSK demodulator outputs so that sampling-based turbo decoding can be realized. Results of BER performances using the named waveform are shown for turbo code rates of 1/3, 1/2 and 2/3 under AWGN and a comparative assessment along with convolutional code is presented to check validity of the proposed metric calculation procedures. These results are further extended to include implementation of RS--turbo concatenated scheme for NCQFSK towards practical use with minimal number of decoding iteration. Finally the proposed turbo coded NCQFSK is applied to the image data (64x 64 pixels of Gray scale) transmission under AWGN to check the effectiveness in the multimedia data transmission.