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.

翻译：本文提出了一种新型编码与译码结构，旨在提升Polar码的可靠性及性能，尤其在低误码率场景下。通过将两个Polar码串行级联形成鲁棒纠错码，主要目标是优化Polar码内部各基本子码的译码行为。在该结构中，我们引入交织技术，通过重新排列比特序列以最大化原始相邻符号间的间隔。这种重排有助于将突发错误转化为分布于整个序列的随机错误。为评估其性能，我们建立了一个包含七个组件的通信系统模型：信源、信道编码器、调制器、信道、解调器、信道译码器与信宿。本研究重点评估不同码块长度与码率下的误码率（BER），并将所提方法与标准Polar码的误码率性能进行对比分析。