An improved DFT spread with genetic algorithm in layered PTS for reduced PAPR in FBMC OQAM systems

K. Ayappasamy, G. Nagarajan, P. Arunagiri
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Abstract

The Partial Transmit Sequence (PTS) is the innovative method for low Peak to Average Power Ratio (PAPR) in multicarrier modulations (MCM). The Filter Bank Multi-carrier (FBMC) method proves a promising technique in advanced wireless communication. The addition of the cyclic prefix reduces the interferences that cause spectral efficiency degradation. Also, computational complexity is the major problem in MCM. It is anticipated to use a Genetic Algorithm (GA) and improve DFT spread in a layered partial transmit sequence (GA-LPTS). The projected system endures splitting each subblock, renovating the conventional PTS's one-layer structure into a dual-layer phase rotation factors search arrangement, and introducing a consequence-related threshold point. The GA then obtains the suboptimal phase factor vectors before PAPR reduction processing. The DFT spread IGA-LPTS scheme successfully condenses the FBMC/OQAM signal's PAPR. The anticipated results are compared to those obtained using the penalty concave-convex procedure (penalty-CCCP) and the carrier frequency offset (CFO) algorithm.
基于遗传算法的分层PTS改进DFT传播以降低FBMC OQAM系统的PAPR
部分发射序列(PTS)是多载波调制(MCM)中实现低峰值平均功率比(PAPR)的创新方法。滤波器组多载波(FBMC)方法是一种很有前途的高级无线通信技术。循环前缀的加入减少了导致频谱效率下降的干扰。同时,计算复杂度也是MCM的主要问题。期望在分层部分传输序列(GA- lpts)中使用遗传算法(GA)并改善DFT传播。该系统对每个子块进行分割,将传统PTS的单层结构改造为双层相位旋转因子搜索结构,并引入与结果相关的阈值点。遗传算法得到次优相位因子矢量,再进行PAPR降阶处理。DFT扩频IGA-LPTS方案成功地压缩了FBMC/OQAM信号的PAPR。将预期的结果与使用惩罚凹凸过程(penalty- cccp)和载波频率偏移(CFO)算法获得的结果进行了比较。
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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