PAPR reduction of OFDM systems using PTS with genetic algorithm at low computational complexity

J. Shukla, A. Joshi, R. Bansal, R. Tyagi
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引用次数: 12

Abstract

Orthogonal frequency division multiplexing (OFDM) is one of the preferred choices for high speed transmission of data in wireless domain pertaining to its immunity towards inter-symbol interference. However high value of peak to average power ratio (PAPR) is a major problem associated with OFDM. High PAPR increases circuit complexity and reduce RF amplifier efficiency. Partial Transmit Sequence (PTS) is one of the widely used techniques for PAPR reduction, however in PTS scheme the computation of optimal phase factors necessitates exhaustive searching among all allowable phase factors. This leads to exponential increase in search and computational complexity with the increase in number of subblocks. In this paper a PTS scheme using Genetic algorithm (GA) for optimized search with low computational complexity scheme is proposed. The proposed scheme provides efficient search and PAPR performance at low computational complexity for a given value of PAPR threshold.
基于PTS的遗传算法降低OFDM系统的PAPR
正交频分复用技术(OFDM)具有抗码间干扰的特点,是无线领域高速数据传输的首选技术之一。然而,高峰值平均功率比(PAPR)是OFDM的一个主要问题。高PAPR增加了电路的复杂性,降低了射频放大器的效率。部分传输序列(PTS)是一种广泛应用的减少PAPR的技术,但在PTS方案中,最优相位因子的计算需要在所有允许的相位因子中进行彻底搜索。这导致搜索和计算复杂度随着子块数量的增加呈指数增长。本文提出了一种利用遗传算法(GA)进行低计算复杂度优化搜索的PTS方案。对于给定的PAPR阈值,该方法在较低的计算复杂度下提供了高效的搜索和PAPR性能。
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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