认知无线电应用中自适应模式PAPR降低的FPGA实现

C. V. Arasu, Satyashil Nagrale, G. Lakshminarayanan
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引用次数: 6

摘要

文献中存在PAPR降低算法,通常对特定场景有效。提出的自适应模式PAPR降低算法选择最适合不同传输条件的模式,以实现认知无线电中大多数情况下PAPR的大幅降低。我们在之前的论文中提出,线性组合可以与子载波相位调整相结合,以实现更大的PAPR降低。本文提出的自适应模式PAPR算法可以根据输入OFDM符号的PAPR值选择子载波相位调整法或线性组合法或两者的结合。该方法可使OFDM信号的峰值平均功率比(PAPR)降低5 dB以上,适用于认知无线电应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA Implementation of Adaptive Mode PAPR Reduction for Cognitive Radio Applications
PAPR reduction algorithms exist in the literature, are often effective for specific scenarios. The proposed adaptive mode PAPR reduction algorithm chooses the mode best suited for different transmission conditions in order to achieve a substantial reduction in PAPR for most scenarios which is essential in Cognitive radio. It was proposed in our previous paper that linear combination can be combined with sub carrier phase adjustment for achieving greater reduction in PAPR. The adaptive mode PAPR algorithm proposed in this work can choose either sub carrier phase adjustment or linear combination method or a combination of both according to the PAPR value of an incoming OFDM symbols. The proposed method can have a better than 5 dB reductions in the Peak to Average Power Ratio (PAPR) of an OFDM signal which is suitable for cognitive radio applications.
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