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
Link To Document :
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