An Improved SLM Algorithm for PAPR Reduction in OFDM

Lu Xuan-min, Wang Yu-shi, Zhou Ya-jian
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引用次数: 1

Abstract

To resolve the problem that the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems is too high, an improved selected mapping (SLM) is proposed in this paper. By scaling the selected signal amplitude and dividing the OFDM vector in the transmitter, it saves the system bandwidth and reduce the PAPR efficiently, and it doesn’t need side information to be sent. At the same time, the random phase sequence information is rapidly recovered by using related detective algorithm, which largely raises the detective efficiency in the receiver. The simulation results show that the improved SLM could reduce the PAPR more efficiently while the bit error rate (BER) is similar to the one of the typical SLM.
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OFDM中减小PAPR的改进SLM算法
针对正交频分复用(OFDM)系统中峰均功率比(PAPR)过高的问题,提出了一种改进的选择映射(SLM)方法。该方法通过对所选信号幅度进行缩放,并在发射机中对OFDM矢量进行分割,有效地节省了系统带宽,降低了PAPR,并且不需要发送侧信息。同时,利用相关检测算法快速恢复随机相序信息,大大提高了接收机的检测效率。仿真结果表明,改进后的SLM可以更有效地降低PAPR,而误码率与典型SLM相当。
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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