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On the Distribution of Low-Weight Codewords for Turbo Codes

机译:Turbo码低权码字的分布

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摘要

We determine the generating function counting the asymptotic number of (minimal) codewords of low weight for standard parallel concatenated (turbo) code ensembles. We then show that the number of minimal codewords of weight up to some fixed constant follows in the limit of large block lengths a Poisson distribution. In analogy to the standard random graph model, we conjecture that this statement remains true as long as we look at codewords of weight O((log n))~(1/4), where n is the blocklength. We then show that parallel concatenated turbo code ensembles have the same error-floor behavior as standard low-density parity-check ensembles LDPC(n,λ,ρ) with λ'(0)ρ'(1) > 1. Using this analogy we conjecture a compact form of the stability condition for parallel concatenated turbo code ensembles. This condition agrees with the few examples known in the literature. It has the pleasing interpretation to characterize that channel value at which the union bound applied to the asymptotic error floor expression diverges.
机译:我们确定生成函数,计算标准并行级联(turbo)代码集合的低权重(最小)代码字的渐近数。然后我们表明,权重达到某些固定常数的最小代码字的数量遵循大块长度泊松分布的限制。与标准随机图模型类似,我们推测只要查看权重为O((log n))〜(1/4)的码字,该语句就仍然成立,其中n是块长。然后,我们证明并行级联的Turbo码集合具有与λ'(0)ρ'(1)> 1的标准低密度奇偶校验集合LDPC(n,λ,ρ)相同的误码行为。我们猜想并行级联的Turbo码集合的稳定条件的紧凑形式。这种情况与文献中已知的几个例子一致。它具有令人愉悦的解释来表征通道值,在该通道值处,应用于渐近误差底限表达式的并集限制会发散。

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