{"title":"Polar Code Trellis Decoder","authors":"J. Sodha","doi":"10.1109/ICCT56969.2023.10076185","DOIUrl":null,"url":null,"abstract":"A single code trellis decoding algorithm is pro-posed to decode a polar code. Key features of a polar tree are exploited to identify critical states into which branches must enter. For a rate 1/2 polar code with K = 4, there are two states which need to be first established. Thereafter, the rest of the symbols are corrected making use of this constraint. Only Euclidean distance calculations were used within the algorithm to create a simple sub-optimal decoder. Its performance is the same as the equivalent standard SC-polar decoder if only Euclidean distance calculations are used. The single code trellis interpretation of the polar decoder provides the insight to a simple method to accurately predict decoding errors of the standard polar decoder over low SNRs. Specifically, the predicted FER closely matches that of a Genie algorithm that has knowledge of the transmitted symbols.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT56969.2023.10076185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

A single code trellis decoding algorithm is pro-posed to decode a polar code. Key features of a polar tree are exploited to identify critical states into which branches must enter. For a rate 1/2 polar code with K = 4, there are two states which need to be first established. Thereafter, the rest of the symbols are corrected making use of this constraint. Only Euclidean distance calculations were used within the algorithm to create a simple sub-optimal decoder. Its performance is the same as the equivalent standard SC-polar decoder if only Euclidean distance calculations are used. The single code trellis interpretation of the polar decoder provides the insight to a simple method to accurately predict decoding errors of the standard polar decoder over low SNRs. Specifically, the predicted FER closely matches that of a Genie algorithm that has knowledge of the transmitted symbols.
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极地代码网格解码器
提出了一种单码栅格解码算法来解码极码。利用极坐标树的关键特征来确定分支必须进入的关键状态。对于K = 4的速率1/2极性码,首先需要建立两个状态。然后,利用这个约束对其余的符号进行校正。仅在算法中使用欧几里得距离计算来创建一个简单的次优解码器。如果只使用欧几里得距离计算,其性能与等效标准sc极解码器相同。极性解码器的单码格解释提供了一种简单的方法来准确预测标准极性解码器在低信噪比下的解码误差。具体来说,预测的FER与具有传输符号知识的Genie算法密切匹配。
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