Performance Analysis of OFDM with Peak Cancellation Under EVM and ACLR Restrictions

Performance Analysis of OFDM with Peak Cancellation Under EVM and ACLR Restrictions
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EVM 和 ACLR 限制下具有峰值消除功能的 OFDM 性能分析

DOI:
10.1109/tvt.2020.2982587
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发表时间:
2020
影响因子:
6.8
通讯作者:
Haris Gacanin
Haris Gacanin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Tomoya Kageyama;Osamu Muta;Haris Gacanin

文献摘要

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本文提出了一种自适应峰值抵消(PC)方法,用于降低OFDM系统的峰值平均功率比(PAPR),同时保持带外(OoB)功率泄漏和带内失真功率低于预定水平。利用检测到的峰值幅值递归估计相邻泄漏功率比(ACLR)和误差矢量幅值(EVM)的增加。我们提出了基于ofdm的系统的分析框架,该系统具有理论误码率(BER)表示和基于预定义的EVM和ACLR要求的最佳峰值阈值检测。根据理论设计选择最佳的峰值检测阈值,以保持预定义的失真水平。因此,它们的降解被限制在与目标极外辐射相对应的预定水平以下。我们还讨论了通过优化PC信号的窗口大小来实现具有目标OoB辐射和带内失真的峰值抵消信号的实际设计。数值结果表明,在本征波束空分复用(E-SDM)系统中,本征波束空分复用(OoB)功率辐射限制下,采用PC方法可以提高系统的可达误码率和PAPR。理论误码率与仿真结果吻合较好。
This paper presents performance analysis of an adaptive peak cancellation (PC) method to reduce the high peak-to-average power ratio (PAPR) for OFDM systems, while keeping the out-of-band (OoB) power leakage as well as an in-band distortion power below the pre-determined level. In this work, the increase of adjacent leakage power ratio (ACLR) and error vector magnitude (EVM) are estimated recursively using the detected peak amplitude. We present analytical framework for OFDM-based systems with theoretical bit error rate (BER) representations and detection of optimum peak threshold based on predefined EVM and ACLR requirements. Moreover, the optimum peak detection threshold is selected based on theoretical design to maintain the pre-defined distortion level. Thus, their degradations are restricted below the pre-defined levels which correspond to target OoB radiation. We also discuss the practical design of peak-cancellation signal with target OoB radiation and in-band distortion through optimizing the windowing size of the PC signal. Numerical results show the improvements with respect to both achievable BER and PAPR with the PC method in eigen-beam space division multiplexing (E-SDM) systems under restriction of OoB power radiation. It can also be seen that the theoretical BER shows good agreements with simulation results.