• DocumentCode
    2174314
  • Title

    Earth observation satellite performance using convolutional coding techniques

  • Author

    Ramirez Ayala, I. ; Salas, César San Martin

  • Author_Institution
    Tech. Manage., Chilean Space Agency, Santiago, Chile
  • fYear
    2009
  • fDate
    10-11 Sept. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper shows an analytical approach for the evaluation of the tight upper bound of the bit error rate (BER) with CDMA-DS and applying the soft decision of Viterbi decoder technique as a contribution for future satellites applied to the earth observation. In this first part, the model is not stressed by some random signals as a jammer or some interference signal. BER expression has been evaluated as a function of the throughput efficiency (Te), the soft decision of levels (Q), the code rate (R), constraint length (L) and the processing gain, (G). The numerical results are showing that a good chance to reach a high efficiency of the system could be employing a code such as, R=frac12 with L=7, in order to improve the BER and to increase the throughput efficiency. Also, using the soft decision decoder levels such as Q=8, a higher performance is achieved for this model. Finally, the coding gain is depicted as a function of the bit energy by a noise spectral density (Eb/Ni) and it is compared to case with no coding (w/c).
  • Keywords
    code division multiple access; convolutional codes; satellite communication; BER expression; CDMA-DS; Earth observation satellite performance; Viterbi decoder; bit error rate; code division multiple access; coding gain; convolutional coding; interference signal; noise spectral density; Artificial satellites; Bit error rate; Convolution; Convolutional codes; Decoding; Earth; Jamming; Throughput; Upper bound; Viterbi algorithm; BER; CDMA-DS; Soft decision of Viterbi decoder; convolutional coder; processing gain; throughput efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. LATINCOM '09. IEEE Latin-American Conference on
  • Conference_Location
    Medellin
  • Print_ISBN
    978-1-4244-4387-1
  • Electronic_ISBN
    978-1-4244-4388-8
  • Type

    conf

  • DOI
    10.1109/LATINCOM.2009.5304791
  • Filename
    5304791