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Noncoherent Detection for Multi-hop Amplify-and-forward-based Multi-branch Cooperative Diversity Systems

机译:基于多跳扩大和前进的多分支协同分集系统的非组织检测

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Since the actual distribution of the received signals in multi-hop amplify-and-forward (AF) relaying transmission is no longer Gaussian, which is caused by the multiplication of fading gains and noise, a new fitted distribution named as logistic distribution is used to derive a novel noncoherent detector based on the maximum likelihood (ML) method. In order to get better performance of the receiver, one or more multi-hop AF links are added to form a multi-branch cooperative diversity system. Therefore, at the destination, combining method is applied to combine several signals together to obtain better diversity gains. Numerical results show that the new detector based on the logistic distribution outperforms the conventional energy detector. Also, it is shown that the performance of receiver is significantly improved when combining method is applied in the multi-branch cooperative diversity system especially when the number of branches increases.
机译:由于多跳扩增和前进(AF)中继传输中所接收信号的实际分布不再是高斯,这是由渐渐增长和噪声的乘法引起的,以便使用名为Logistic分布的新装配分布基于最大可能性(ML)方法,导出新颖的无量子探测器。为了获得更好的接收器性能,添加一个或多个多跳AF链接以形成多分支协同分集系统。因此,在目的地,应用组合方法以将若干信号组合在一起以获得更好的分集增益。数值结果表明,基于逻辑分布的新检测器优于传统的能量检测器。此外,当在多分支协作分集系统中应用组合方法时,特别是当分支的数量增加时,当组合方法增加时,接收器的性能显着提高。

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