基于遗传算法的WPM系统PAPR降低

2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN) Pub Date : 2013-07-26 DOI:10.1109/WOCN.2013.6616193

N. Dixit, Namrata Singh, Sayali Mandake, Mudassar Husain Naikwadi, K. Patil

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引用次数: 1

摘要

正交频分复用(OFDM)和小波包调制(WPM)等多载波传输的主要缺点是它们的峰值平均功率比(PAPR)很高。在本文中，我们提出了一种基于遗传算法(GA)的减少PAPR的方法。遗传算法已被证明是一种有效的优化工具，可以降低PAPR和计算量。结果表明，原始WPM信号的P - APR为12.5 dB，加GA后得到的P - APR为9.5 dB，从而使PAPR降低了约3dB。进一步观察到，如果代数增加，遗传算法的性能优于部分传输序列(PTS)和选择性映射技术(SLM)。

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 genetic algorithm based PAPR reduction in WPM system

The major drawback of multicarrier transmission such as Orthogonal Frequency Division Multiplexing (OFDM) and Wavelet Packet Modulation (WPM) is their high Peak-to-Average Power Ratio (PAPR). In this paper, we propose Genetic Algorithm (GA) based approach for the reduction of PAPR. The GA approach has proved to be an efficient optimization tool for the reduction of PAPR as well as the computational load. The results show that the P APR of the original WPM signal is 12.5 dB and that obtained after applying GA is 9.5 dB, thereby reducing the PAPR by about 3dB. Further, it is observed that GA performs better than Partial Transmit Sequence (PTS) and Selective Mapping Technique (SLM) if number of generations is increased.

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2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)

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