New Structure of Channel Coding: Serial Concatenation of Polar Codes

Mohammed Mensouri, Mustapha Eddahibi
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Abstract

In this paper, we introduce a new coding and decoding structure for enhancing the reliability and performance of polar codes, specifically at low error rates. We achieve this by concatenating two polar codes in series to create robust error-correcting codes. The primary objective here is to optimize the behavior of individual elementary codes within polar codes. In this structure, we incorporate interleaving, a technique that rearranges bits to maximize the separation between originally neighboring symbols. This rearrangement is instrumental in converting error clusters into distributed errors across the entire sequence. To evaluate their performance, we proposed to model a communication system with seven components: an information source, a channel encoder, a modulator, a channel, a demodulator, a channel decoder, and a destination. This work focuses on evaluating the bit error rate (BER) of codes for different block lengths and code rates. Next, we compare the bit error rate (BER) performance between our proposed method and polar codes.
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信道编码的新结构:极性码的串行级联
在本文中,我们介绍了一种新的编码和解码结构,以提高极性码的可靠性和性能,特别是在低错误率下。我们通过串联两个极性码来创建健壮的纠错码来实现这一点。这里的主要目标是优化极性码中单个基本码的行为。在这种结构中,我们结合了交错,这是一种重新排列比特以最大限度地分离原始相邻符号的技术。这种重排有助于将错误簇转换为跨整个序列的分布式错误。为了评估它们的性能,我们提出了一个由七个组件组成的通信系统模型:信息源、信道编码器、调制器、信道、解调器、信道解码器和目的地。本文主要研究了在不同分组长度和码率下的码误码率。接下来,我们比较了我们提出的方法和极性码的误码率(BER)性能。
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