一种降低FBMC/OQAM信号高PAPR的智能保留方案

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI:10.23919/SOFTCOM.2017.8115510

Mounira Laabidi, R. Bouallègue

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引用次数: 0

摘要

近年来，滤波器组多载波调制(FBMC)信号的峰值平均功率比(PAPR)问题得到了广泛的研究。为了降低FBMC/OQAM信号的PAPR，本文提出了一种优化的、新颖的重叠滑动窗口Tone Reservation (SW-TR)算法。我们的PAPR降低方案称为智能音调保留(STR)，使用智能梯度计划(SGP)算法来加快SW-TR算法的收敛速度。仿真结果表明，本文提出的FBMC/OQAM的PAPR降低方案不仅能有效地降低FBMC/OQAM信号的PAPR，而且优于采用SGP-TR方案的OFDM。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A smart tone reservation scheme for reducing the high PAPR of the FBMC/OQAM signal

High Peak to Average Power Ratio (PAPR) of the Filter bank Multi-carriers Modulations (FBMC) signal has been extensively addressed in recent research studies. In this paper, we suggest an optimized and novel version of the overlapped Sliding Window Tone Reservation (SW-TR) algorithm in order to reduce the PAPR of the FBMC/OQAM signal. Our PAPR reduction scheme termed Smart Tone Reservation (STR) uses the Smart Gradient Project (SGP) algorithm to accelerate the convergence rate of the SW-TR algorithm. Simulation results indicate that the suggested PAPR reduction scheme for FBMC/OQAM is not only efficient in reducing the PAPR of the FBMC/OQAM signal with only one iteration but also outperforms OFDM with SGP-TR scheme.

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来源期刊

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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