Blind Identification and Digital Compensation of Memory Nonlinearities for Multiband Systems

Jiang Jin, Juan Peng
{"title":"Blind Identification and Digital Compensation of Memory Nonlinearities for Multiband Systems","authors":"Jiang Jin, Juan Peng","doi":"10.1109/CMC.2010.59","DOIUrl":null,"url":null,"abstract":"Memory nonlinearities exist in electronic devices or transmission links. A blind identification method is proposed to estimate the Volterra inverse of memory nonlinearities for multiband system by minimizing the strong out-of-band spurs above the preset threshold based on domain transformation and spur classification. The inverse model is employed to recover the noisy sampled signal or improve the spurious-free dynamic range of memory nonlinear system by applying post-distortion or pre-distortion compensation. It can also used as multiband digital filter with varying intermediate frequency or bandwidth. In time-varying system, the filter coefficients can be updated adaptively by iterate search. The experiment results demonstrate the effectiveness.","PeriodicalId":296445,"journal":{"name":"2010 International Conference on Communications and Mobile Computing","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Communications and Mobile Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMC.2010.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Memory nonlinearities exist in electronic devices or transmission links. A blind identification method is proposed to estimate the Volterra inverse of memory nonlinearities for multiband system by minimizing the strong out-of-band spurs above the preset threshold based on domain transformation and spur classification. The inverse model is employed to recover the noisy sampled signal or improve the spurious-free dynamic range of memory nonlinear system by applying post-distortion or pre-distortion compensation. It can also used as multiband digital filter with varying intermediate frequency or bandwidth. In time-varying system, the filter coefficients can be updated adaptively by iterate search. The experiment results demonstrate the effectiveness.
多波段系统记忆非线性的盲辨识与数字补偿
存储非线性存在于电子设备或传输链路中。提出了一种基于域变换和杂散分类的多波段系统记忆非线性Volterra逆的盲识别方法,该方法通过最小化超过预设阈值的强带外杂散来估计记忆非线性的Volterra逆。通过后失真或预失真补偿,利用逆模型恢复有噪声的采样信号或提高记忆非线性系统的无杂散动态范围。它还可以作为不同中频或带宽的多频带数字滤波器。在时变系统中,滤波系数可以通过迭代搜索自适应更新。实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信