{"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}
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.