Peak-to-Average Power Ratio Reduction in Lifting Based Wavelet Packet Modulation Systems Using Differential Evolution Algorithm

被引：0
|
作者：
Yüksel Tokur Bozkurt
Necmi Taşpınar
机构：
[1] Gaziantep University,Department of Electronic and Automation, Vocational School of Technical Sciences
[2] Erciyes University,Department of Electrical and Electronic Engineering
来源：
Wireless Personal Communications | 2017年 / 94卷
关键词：
Differential evolution algorithm; Lifting based wavelet packet modulation; Partial transmit sequences; Peak-to-average power ratio;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Integer wavelet transform (IWT) is an alternative to fast Fourier transform (FFT) in orthogonal frequency division multiplexing (OFDM) systems. It serves implementation flexibility and performance improvement by diminishing high side lobes, sensitivity to time and frequency synchronization. However, high PAPR of the transmitted signals is also a significant problem for IWT as in FFT based OFDM. One of the methods used for reducing the peak-to-average power ratio (PAPR) is partial transmit sequences (PTS) and this method requires an exhaustive search to obtain optimum reduction. This study examines the PAPR reduction potential of differential evolution algorithm based PTS scheme in lifting based wavelet packet modulation (LBWPM) system. The simulation results indicate that remarkable PAPR reduction performance with a low computational load for LBWPM system can be achieved using the proposed differential evolution based PTS scheme.
引用
收藏
页码：1073 / 1086
页数：13
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