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On the Convergence Speed of Turbo Demodulation With Turbo Decoding

机译:Turbo解码对Turbo解调的收敛速度的影响

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摘要

Iterative processing is widely adopted nowadays in modern wireless receivers for advanced channel codes like turbo and LDPC codes. Extension of this principle with an additional iterative feedback loop to the demapping function has proven to provide substantial error performance gain. However, the adoption of iterative demodulation with turbo decoding is constrained by the additional implied implementation complexity, heavily impacting latency and power consumption. In this paper, we analyze the convergence speed of these combined two iterative processes in order to determine the exact required number of iterations at each level. Extrinsic information transfer (EXIT) charts are used for a thorough analysis at different modulation orders and code rates. An original iteration scheduling is proposed reducing two demapping iterations with reasonable performance loss of less than 0.15 dB. Analyzing and normalizing the computational and memory access complexity, which directly impact latency and power consumption, demonstrates the considerable gains of the proposed scheduling and the promising contributions of the proposed analysis.
机译:如今,迭代处理已在现代无线接收器中广泛采用,以处理诸如turbo和LDPC码之类的高级信道码。事实证明,通过将附加的迭代反馈回路扩展到解映射功能,可以大大提高错误处理性能。但是,采用Turbo解码的迭代解调方式受到额外隐含的实现复杂性的限制,这严重影响了延迟和功耗。在本文中,我们分析了这两个组合迭代过程的收敛速度,以便确定每个级别所需的确切迭代次数。外在信息传输(EXIT)图用于在不同的调制阶数和编码率下进行全面分析。提出了一种原始迭代调度,减少了两个解映射迭代,并且合理的性能损失小于0.15 dB。分析和规范化计算和内存访问的复杂性,这直接影响等待时间和功耗,证明了所提出的调度的可观收益和所提出的分析的有希望的贡献。

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