NDLI: Evaluation of the Block Error Probability of Block Modulation Codes by the Maximum-Likelihood Decoding for an Awgn Channel

Content Provider	IEEE Xplore Digital Library
Author	Kasami, T. Fujiwara, T. Takata, T. Shu Lin
Copyright Year	1993
Description	Author affiliation: University of Hawaii at Manoa (Kasami, T.)
Abstract	This paper is concerned with the evaluation of the block error probability P/sub e/ of a block modulation code by optimum or suboptimum soft-decision decoding for an AWGN channel. In the range D/sub L/ of low signal-to-noise ratios, it is feasible to evaluate P/sub e/ by simulation. In the range D/sub H/ of very high signal-to-noise ratios, tight upper bounds on P/sub e/ are available. However, in most cases, there remains a gap between D/sub L/ and D/sub H/, and the value P/sub e/ for signal-to-noise ratios in this gap may be of practical interest. In general, very small values of the block error probability are required. It is infeasible to evaluate a very small P/sub e/ simply by simulation. In this paper, the maximum-likelihood soft-decision decoding of a block modulation code for an AWGN channel is considered, and a new method of evaluating the block error probability P/sub e/ for a wide range of signal-to-noise ratios is presented. The evaluation of P/sub e/ is reduced to numerical computations and simulations on statistics with not very small mean value. Computation results for the block error probabilities of some block modulation codes are given.
Starting Page	68
Ending Page	68
File Size	147490
Page Count	1
File Format	PDF
ISBN	0780308786
DOI	10.1109/ISIT.1993.748383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-01-17
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Error probability Modulation coding Maximum likelihood decoding AWGN channels Signal to noise ratio Computational modeling Euclidean distance Information science Computer science Computer errors
Content Type	Text
Resource Type	Article

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