Turbo code concepts made easy, or how I learned to concatenate and reiterate

B. Sklar
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引用次数: 12

Abstract

The goal of this paper is to describe the main ideas behind the new class of codes called turbo codes, whose performance in terms of bit-error-probability has been shown to be very close to the Shannon limit. The benefits of these concatenated codes are illustrated in the context of likelihood functions and a posteriori probabilities. Since the algorithms needed to implement the decoders have been well documented by others, they are only referenced here, but not described in detail. A numerical example, using a simple concatenated coding scheme, provides a vehicle for explaining how error performance can be improved when soft outputs from the decoders are used in an iterative decoding process.
Turbo代码的概念变得简单,或者我是如何学会连接和重申的
本文的目标是描述被称为turbo码的新代码类背后的主要思想,其在误码概率方面的性能已被证明非常接近香农极限。在似然函数和后验概率的背景下说明了这些串联代码的好处。由于实现解码器所需的算法已被其他人很好地记录,因此仅在此处引用,而没有详细描述。一个使用简单串联编码方案的数值示例提供了一个工具,用于解释在迭代解码过程中使用解码器的软输出如何改善错误性能。
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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