Bounds on error probability of block codes with bounded-angle maximum-likelihood incomplete decoding

S. Dolinar, K. Andrews, F. Pollara, D. Divsalar
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引用次数: 7

Abstract

Recently, Dolinar et al. obtained extremely tight bounds on the probabilities of decoding error and undetected error for block codes using bounded-angle maximum-likelihood (BA-ML) incomplete decoding. Unfortunately, these bounds are complex and difficult to compute for large block sizes. In this paper we obtain simple exponential upper bounds on both the word error probability and the undetected error probability of block codes using BA-ML decoding.
有界角最大似然不完全译码分组码的错误概率界
最近,Dolinar等人利用有界角最大似然(BA-ML)不完全译码获得了分组码的译码错误和未检测错误概率的极紧界。不幸的是,这些边界是复杂的,很难计算大块大小。本文利用BA-ML译码,得到了分组码的单词错误概率和未检测到的错误概率的简单指数上界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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