DocumentCode :
897028
Title :
Burst error statistics of simulated Viterbi decoded BPSK on fading and scintillating channels
Author :
Morris, Joel M.
Author_Institution :
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
Volume :
40
Issue :
1
fYear :
1992
fDate :
1/1/1992 12:00:00 AM
Firstpage :
34
Lastpage :
41
Abstract :
The author presents and analyzes burst error statistics of a soft-decision Viterbi decoder when the transmitted signal is encoded with the 313 (3, 1/2) or 31123 (5, 1/2) convolutional codes, modulated via coherent binary phase-shift keying (BPSK) for the additive white Gaussian noise (AWGN) channel, and subjected to slow and nonselective scintillation/fading modeled by the Nakagami-m distribution. These statistics were generated by Monte-Carlo simulations, and presented in terms of burst error length average and quantile (90 and 99%) statistics versus SNR (Eb/N0) parameterized by the fading intensity parameter m. The results indicate how Viterbi decoder burst error statistics vary with the fading/scintillation intensity m for Nakagami-m channels, and, consequently, provide information important to the design of interleaved or noninterleaved concatenated coding schemes for such channel environments
Keywords :
decoding; error correction codes; error statistics; fading; phase shift keying; scintillation; telecommunication channels; AWGN channel; BPSK; Monte-Carlo simulations; Nakagami-m distribution; SNR; additive white Gaussian noise; average; burst error length; burst error statistics; coherent binary phase-shift keying; convolutional codes; fading intensity parameter; interleaved concatenated coding; noninterleaved concatenated coding; nonselective fading; quantile; scintillating channels; slow fading; soft-decision Viterbi decoder; AWGN; Binary phase shift keying; Convolutional codes; Decoding; Error analysis; Fading; Phase modulation; Signal analysis; Statistical distributions; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.126705
Filename :
126705
Link To Document :
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