{"title":"基于线性样条的数字预失真器设计及其定点实现","authors":"Karan Gumber, M. Rawat","doi":"10.1109/APMC.2016.7931349","DOIUrl":null,"url":null,"abstract":"This paper investigates digital predistorter design using linear splines polynomial (LSP) and its implementation in 16-bit fixed point FPGA. The performance of memory polynomial model in fixed point implementation degrades, and LSP model has been proposed as a solution. The performance is evaluated in terms of simulation and measured result. It has been reported that we achieve numerically stable observation matrices using splines, hence accuracy level of coefficients is sufficient to cover full dynamic range in FPGA.","PeriodicalId":166478,"journal":{"name":"2016 Asia-Pacific Microwave Conference (APMC)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Digital predistorter design using linear spline and its fixed point implementation\",\"authors\":\"Karan Gumber, M. Rawat\",\"doi\":\"10.1109/APMC.2016.7931349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates digital predistorter design using linear splines polynomial (LSP) and its implementation in 16-bit fixed point FPGA. The performance of memory polynomial model in fixed point implementation degrades, and LSP model has been proposed as a solution. The performance is evaluated in terms of simulation and measured result. It has been reported that we achieve numerically stable observation matrices using splines, hence accuracy level of coefficients is sufficient to cover full dynamic range in FPGA.\",\"PeriodicalId\":166478,\"journal\":{\"name\":\"2016 Asia-Pacific Microwave Conference (APMC)\",\"volume\":\"355 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Asia-Pacific Microwave Conference (APMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APMC.2016.7931349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Asia-Pacific Microwave Conference (APMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APMC.2016.7931349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital predistorter design using linear spline and its fixed point implementation
This paper investigates digital predistorter design using linear splines polynomial (LSP) and its implementation in 16-bit fixed point FPGA. The performance of memory polynomial model in fixed point implementation degrades, and LSP model has been proposed as a solution. The performance is evaluated in terms of simulation and measured result. It has been reported that we achieve numerically stable observation matrices using splines, hence accuracy level of coefficients is sufficient to cover full dynamic range in FPGA.