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On Providing the Theoretical EVM Limit for Tone Reservation PAPR Reduction Technique

机译:为音调保留PAPR降低技术提供理论EVM极限

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In this paper, we derive the closed form expression of the Error Vector magnitude (EVM) of Orthogonal Frequency Division Multiplexing (OFDM) signals for optimal Tone Reservation (TR) Peak to Average Power Ratio (PAPR) reduction. This expression is the theoretical lower bound of the EVM that is affordable through TR PAPR reduction. It considers the High Power Amplifier (HPA) non-linearities and memory effects. The provided EVM expression essentially relies on the probability distribution of the time domain amplitude after applying TR algorithm. The proposed methodology consists in first evaluating such distribution, and then integrating it to get the EVM. It has been applied here in the case of the optimal TR PAPR reduction algorithm but can be extended to other TR algorithms given that the time domain amplitude distribution can be extracted. Hence, this paper provides a general analytical framework applicable for any TR algorithm.
机译:在本文中,我们推导了正交频分复用(OFDM)信号的误差矢量幅度(EVM)的闭合形式,以实现最佳的音频保留(TR)峰均功率比(PAPR)降低。该表达式是EVM的理论下限,可通过降低TR PAPR来承受。它考虑了高功率放大器(HPA)的非线性和记忆效应。提供的EVM表达式基本上依赖于应用TR算法后的时域幅度的概率分布。所提出的方法包括首先评估这种分布,然后将其集成以获得EVM。它已在最佳TR PAPR降低算法的情况下在此处应用,但鉴于可以提取时域幅度分布,可以将其扩展到其他TR算法。因此,本文提供了适用于任何TR算法的通用分析框架。

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