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A Novel Statistical Model of OFDM Signals with Optimal Tone Reservation PAPR Reduction for EVM Theoretical Analysis

机译:EVM理论分析具有最优音调预留PAPR减少的OFDM信号的新统计模型

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In this paper, we study the statistical distribution of the OFDM time-domain signal amplitude to which the optimal tone reservation (TR) PAPR reduction solution is applied. This study comes as a major step towards the derivation of the analytical expression of the error vector magnitude (EVM) metric on OFDM waveforms when non-linear amplification is used. We demonstrate through simulations that this distribution has a bimodal behavior and can be tightly modeled as a superposition of two probability density functions whose expressions are given and whose parameters are obtained through proper estimation. From such analysis, we provide the complete distribution expression of the PAPR-reduced OFDM signal, which can be further exploited for the derivation of performance bounds of the TR PAPR reduction strategy.
机译:在本文中,我们研究了应用了OFDM时域信号幅度的统计分布,施加了最佳音调预留(TR)PAPR还原解决方案。本研究作为朝向使用非线性放大时误差矢量幅度(EVM)度量的分析表达的主要步骤。我们通过模拟证明该分布具有双峰行为,并且可以将其被紧密地建模为两个概率密度函数的叠加,其表达式的表现且通过适当估计获得其参数。从这种分析中,我们提供PapR减少的OFDM信号的完整分布表达,这可以进一步利用TR PAPR减少策略的性能范围的推导。

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