• DocumentCode
    314046
  • Title

    Improved error probability bounds for a block-coded signal with a bounded decision region in the presence of AWGN

  • Author

    Mow, Wai Ho

  • Author_Institution
    Div. of Commun. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    1997
  • fDate
    29 Jun-4 Jul 1997
  • Firstpage
    329
  • Abstract
    Bounding techniques for the error probability in detecting a transmitted signal in the presence of AWGN are considered. The error probability, Pe(i), is the conditional probability that the received signal is incorrectly detected assuming that the ith signal was transmitted. Tight upper and lower bounds on Pe(i) in the low SNR region are useful for the performance analysis of some concatenated multilevel block coded modulation schemes which can achieve a high coding gain. We propose a new lower bound which is always tighter than the bounds of Shannon (1949) and Swaszek (see IEEE Trans. Inform. Theory, vol.41, p.837-41, 1995) so that the bound is tight at both high and low SNRs. This so-called improved cone lower bound was derived by combining the bounding techniques of Shannon and Swaszek
  • Keywords
    Gaussian noise; block codes; coding errors; concatenated codes; error statistics; modulation coding; probability; signal detection; white noise; AWGN; Shannon method; Swaszek method; block-coded signal; bounded decision region; bounding techniques; concatenated multilevel block coded modulation; conditional probability; error probability bounds; high SNR; high coding gain; low SNR region; lower bound; performance analysis; signal detection; upper bound; AWGN; Concatenated codes; Error probability; Gaussian noise; Lattices; Modulation coding; Performance analysis; Performance gain; Signal detection; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-7803-3956-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1997.613257
  • Filename
    613257