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Improved Information Nulling Algorithm and Extending Check Matrix Algorithm for Rate Compatible LDPC Codes

机译:速率兼容LDPC码的改进信息归零算法和扩展校验矩阵算法

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This paper focuses on two rate compatible algorithms that make the code rate of Low-Density Parity Check (LDPC) code lower, the Extending Check Matrix algorithm (ECMA) and the Information Nulling algorithm (1NA). ECMA adds new parity check bits, while INA replaces several information bits with dummy bits that are known to decoder. Theoretical analysis and simulation results indicate that for irregular LDPC code. INA can be improved remarkably by padding the coded bits with lower degree first. Further comparison implies that improved INA and ECMA may complement each other. For a specific target coding rate, ECMA is suitable for coarse rate compatible (RC) in a wide range of coding rate, and improved INA is fit for fine rate adjustment. Thus the code rate of RC-LDPC codes can be lowered bit by bit, just as the puncturing algorithms rise the coding rate.
机译:本文着重介绍两种可降低低密度奇偶校验(LDPC)码编码率的速率兼容算法,即扩展校验矩阵算法(ECMA)和信息归零算法(1NA)。 ECMA添加了新的奇偶校验位,而INA用解码器已知的虚拟位替换了多个信息位。理论分析和仿真结果表明,该算法适用于不规则的LDPC码。通过首先以较低的度填充编码位,可以显着提高INA。进一步的比较表明,改进的INA和ECMA可以互补。对于特定的目标编码速率,ECMA适用于广泛的编码速率范围内的粗略速率兼容(RC),而改进的INA适合进行精细速率调整。因此,就像打孔算法提高了编码率一样,RC-LDPC码的编码率也可以一点一点地降低。

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