• DocumentCode
    355843
  • Title

    Bootstrap sequential decoding at high spectral efficiencies

  • Author

    Cabral, H.A. ; Costello, D.J., Jr.

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • fYear
    2000
  • fDate
    25-30 June 2000
  • Firstpage
    230
  • Abstract
    Sequential decoding of large memory codes has been investigated for 8-PSK, 16-QAM, and larger constellations. The results show that high reliability can be achieved at channel signal-to-noise ratios (SNRs) where the code rate is nearly equal to R/sub 0/, yielding 1-1.5 dB coding gain over Viterbi decoding of small memory codes. Since bootstrap hybrid decoding (BHD) is known to improve the cut-off rate of a sequential decoder for binary modulation, further improvements can be expected using this method applied to TCM. We present a lower bound to the computational cut-off rate for the extension of the BHD scheme to TCM. Our analysis is based on the original derivation for the case of binary modulation proposed by Jelinek and Cocke (1971). Numerical evaluations of the expressions obtained for the cases of hard-decision 8-PSK and 8-level quantized 4AM modulation show significant improvements over the usual cut-off rate, similar to the results obtained by Jelinek et al. for BPSK modulation. These results suggest that performance close to capacity can be achieved with sufficiently powerful TCM systems and bootstrap sequential decoding.
  • Keywords
    Viterbi decoding; phase shift keying; quadrature amplitude modulation; sequential decoding; spectral analysis; trellis coded modulation; 16-QAM; 8-level quantized 4AM; BPSK; SNR; TCM; Viterbi decoding; binary modulation; bootstrap hybrid decoding; bootstrap sequential decoding; channel signal-to-noise ratio; code rate; coding gain; cut-off rate; hard-decision 8-PSK; high spectral efficiencies; large memory codes; lower bound; AWGN channels; Additive white noise; Binary phase shift keying; Computational complexity; Computational modeling; Decoding; Gaussian noise; NASA; Signal to noise ratio; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento, Italy
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866528
  • Filename
    866528