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OFDM blind signal detection based on the probability-enhanced genetic algorithm

机译:基于概率增强遗传算法的OFDM盲信号检测

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In recent years the quadratic program (QP) is applied for the blind signal detection of the time-varying OFDM systems. The minimum solution of the QP is obtained by means of exhaustive search in the vector space, which often involves large and nondeterministic complexity. In this paper, we derive some formulas describing the probability information about the received PSK-type signals. With these formulas, a novel genetic algorithm (GA) based method is proposed. Different from other approaches, this method includes a new selection and mutation strategy, ensuring the near-optimal solution can be found with least complexity. The simulations prove the effectiveness of the new method.
机译:近年来,将二次程序(QP)应用于盲信号检测时变量的OFDM系统。 QP的最小解决方案是通过在向量空间中的详尽搜索获得的,这通常涉及大而非明确的复杂性。在本文中,我们得出了一些描述关于所接收的PSK型信号的概率信息的公式。利用这些公式,提出了一种新的基于遗传算法(GA)的方法。这种方法不同于其他方法,包括新的选择和突变策略,确保近最佳解决方案可以以最小复杂性找到。模拟证明了新方法的有效性。

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