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A differential ML combiner for differential amplify-and-forward system in time-selective fading channels

机译:在时间选择衰落信道中用于差分放大转发系统的差分ML组合器

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摘要

We propose a new differential maximum-likelihood (DML) combiner for noncoherent detection of the differential amplify-and-forward (D-AF) relaying system in the time-selective channel. The weights are computed based on both the average channel quality and the correlation coefficient of the direct and relay channels. Moreover, we derive a closed-form approximate expression for the average bit error rate (BER), which is applicable to any single-relay D-AF system with fixed weights. Both theoretical and simulated results are presented to show that the time-selective nature of the underlying channels tends to reduce the diversity gains at the low-signal-to-noise-ratio (SNR) region, resulting in an asymptotic BER floor at the high-SNR region. Moreover, the proposed DML combiner is capable of providing significant BER improvements compared with the conventional differential detection (CDD) and selection-combining (SC) schemes.
机译:我们提出了一种新的差分最大似然(DML)组合器,用于在时间选择通道中对差分放大转发(D-AF)中继系统进行非相干检测。基于平均信道质量以及直接和中继信道的相关系数来计算权重。此外,我们导出了平均误码率(BER)的闭式近似表达式,适用于具有固定权重的任何单继电器D-AF系统。理论和仿真结果均表明基础信道的时间选择特性趋向于降低低信噪比(SNR)区域的分集增益,从而导致高BER的渐近BER底。 -SNR区域。此外,与传统的差分检测(CDD)和选择组合(SC)方案相比,提出的DML组合器能够显着提高BER。

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