OFDM/OQAM系统中降低PAPR的自适应裁剪音调保留算法

V. Sandeepkumar, S. Anuradha
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引用次数: 3

摘要

基于裁剪技术的音调保留(TR)技术是一种无损、简单、有吸引力的峰均功率比(PAPR)降低技术。但是,当目标裁剪电平低于初始未知的最优值时,我们观察到它不能达到最小PAPR。为了克服这种低裁剪水平的问题,本文提出了一种具有自适应裁剪控制的TR算法。首先,采用自适应策略控制裁剪级a的大小;其次,采用新的阶跃因子μ来完成迭代计算,以提高收敛速度;仿真结果表明,该算法在不需要侧信息和接收端任何额外处理的情况下,显著降低了PAPR,提高了收敛速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive clipping tone reservation algorithm for PAPR reduction in OFDM/OQAM system
The Tone Reservation (TR) technique based on clipping technique is a lossless, simple and attractive Peak-to-Average Power Ratio (PAPR) reduction technique. But, when the target clipping level is set below an initially unknown optimum value, however, we observe it cannot achieve the minimum PAPR. To overcome this low clipping level problem, a novel TR algorithm with adaptive clipping control is proposed in this paper. Firstly, an adaptive strategy is used to control the size of clipping level A. Secondly, a novel step factor μ is adopted, to complete iterative computations in order to increase the convergence speed. Simulation results verify that the proposed algorithm has reduced the PAPR and improved the convergence speed significantly without side information and without any extra processing at the receiver end.
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