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