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Adaptive iterative detection for expediting the convergence of a serially concatenated Unary Error Correction decoder, turbo decoder and an iterative demodulator

机译:自适应迭代检测,可加快串行级联一元纠错解码器,turbo解码器和迭代解调器的收敛

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Unary Error Correction (UEC) codes constitute a recently proposed Joint Source and Channel Code (JSCC) family, conceived for alphabets having an infinite cardinality, whilst out-performing previously used Separate Source and Channel Codes (SSCCs). UEC based schemes rely on an iterative decoding process, which involves three decoding blocks when concatenated with a turbo code. Owing to this, following the activation of one of the three blocks, the next block to be activated must be chosen from the other two decoding block options. Furthermore, the UEC decoder offers a number of decoding options, allowing its complexity and error correction capability to be dynamically adjusted. It has been shown that iterative decoding convergence can be expedited by activating the specific decoding option that offers the highest Mutual Information (MI) improvement to computational complexity ratio. This paper introduces an iterative demodulator, which is shown to improve the associated error correction performance, while reducing the overall iterative decoding complexity. The challenge is that the iterative demodulator has to forward its soft-information to the other two iterative decoding blocks, and hence the corresponding MI improvements cannot be compared on a like-for-like basis. Additionally, we also propose a method of eliminating the logarithmic calculations from the adaptive iterative decoding algorithm, hence further reducing its implementational complexity without impacting its error correcting performance.
机译:一元错误校正(UEC)代码构成了最近提出的联合源代码和通道代码(JSCC)系列,其构思是针对具有无限基数的字母,而其性能却优于先前使用的单独源代码和通道代码(SSCC)。基于UEC的方案依赖于迭代解码过程,该过程在与Turbo码连接时涉及三个解码块。因此,在激活三个块之一之后,必须从其他两个解码块选项中选择下一个要激活的块。此外,UEC解码器提供了许多解码选项,从而可以动态调整其复杂性和纠错能力。已经表明,可以通过激活特定的解码选项来加快迭代解码的收敛速度,该选项提供了最高的互信息(MI)对计算复杂度的改进。本文介绍了一种迭代解调器,它可以改善相关的纠错性能,同时降低整体迭代解码的复杂度。挑战在于,迭代解调器必须将其软信息转发给其他两个迭代解码块,因此无法在相似基础上比较相应的MI改进。此外,我们还提出了一种从自适应迭代解码算法中消除对数计算的方法,从而进一步降低了其实现复杂度,而不会影响其纠错性能。

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