OFDM系统中基于比例偏移PSO的PTS降低PAPR

S. Prasad, R. Scholar, Ramesh Jayabalan
{"title":"OFDM系统中基于比例偏移PSO的PTS降低PAPR","authors":"S. Prasad, R. Scholar, Ramesh Jayabalan","doi":"10.1109/UEMCON.2017.8248982","DOIUrl":null,"url":null,"abstract":"In this paper, an improved scheme called Scaled Offset Particle Swarm Optimization based Partial Transmit Sequence (SOPSO-PTS) for reducing Peak-to-Average Power Ratio (PAPR) in wireless communications is presented. The main focus of this paper is to reduce PAPR as well as the computational complexity. The proposed scheme SOPSO-PTS has salient features such as faster convergence to the optimum value and provides a good control mechanism to the particle's velocity which makes it unique from the other conventional PSO-PTS schemes. The proposed scheme performs better when compared to Simulated Annealing (SA) PTS and Particle Swarm Optimization (PSO) PTS techniques.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Scaled offset PSO based PTS for PAPR reduction in OFDM systems\",\"authors\":\"S. Prasad, R. Scholar, Ramesh Jayabalan\",\"doi\":\"10.1109/UEMCON.2017.8248982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an improved scheme called Scaled Offset Particle Swarm Optimization based Partial Transmit Sequence (SOPSO-PTS) for reducing Peak-to-Average Power Ratio (PAPR) in wireless communications is presented. The main focus of this paper is to reduce PAPR as well as the computational complexity. The proposed scheme SOPSO-PTS has salient features such as faster convergence to the optimum value and provides a good control mechanism to the particle's velocity which makes it unique from the other conventional PSO-PTS schemes. The proposed scheme performs better when compared to Simulated Annealing (SA) PTS and Particle Swarm Optimization (PSO) PTS techniques.\",\"PeriodicalId\":403890,\"journal\":{\"name\":\"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UEMCON.2017.8248982\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UEMCON.2017.8248982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

提出了一种改进的基于比例偏移粒子群优化的部分传输序列(SOPSO-PTS)方案,用于降低无线通信中的峰均功率比(PAPR)。本文的研究重点是降低PAPR和计算复杂度。该方案具有收敛速度快、对粒子速度有良好的控制机制等显著特点,与其他传统的PSO-PTS方案相比具有独特之处。与模拟退火(SA) PTS和粒子群优化(PSO) PTS技术相比,该方案具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scaled offset PSO based PTS for PAPR reduction in OFDM systems
In this paper, an improved scheme called Scaled Offset Particle Swarm Optimization based Partial Transmit Sequence (SOPSO-PTS) for reducing Peak-to-Average Power Ratio (PAPR) in wireless communications is presented. The main focus of this paper is to reduce PAPR as well as the computational complexity. The proposed scheme SOPSO-PTS has salient features such as faster convergence to the optimum value and provides a good control mechanism to the particle's velocity which makes it unique from the other conventional PSO-PTS schemes. The proposed scheme performs better when compared to Simulated Annealing (SA) PTS and Particle Swarm Optimization (PSO) PTS techniques.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信