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On the error probability of decision-feedback differential detection

机译:决策反馈差分检测的错误概率

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摘要

We give a tight approximation for the bit-error rate (BER) of decision-feedback differential detection (DF-DD). The influence of error propagation is modeled by a Markov chain. A simple state reduction method is proposed to limit computational complexity. Our results show that error propagation strongly depends on the chosen feedback filter. In particular, the popular assumption that error propagation increases BER by a factor of two is not always justified.
机译:我们给出了决策反馈差分检测(DF-DD)的误码率(BER)的近似值。误差传播的影响通过马尔可夫链进行建模。提出了一种简单的状态约简方法来限制计算复杂度。我们的结果表明,误差传播在很大程度上取决于所选的反馈滤波器。特别是,错误传播将BER增加两倍的普遍假设并不总是合理的。

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