首页 | 本学科首页   官方微博 | 高级检索  
     

基于压缩感知的窄带干扰重构与消除
引用本文:刘思聪,杨昉,宋健,李建岐,刘伟麟.基于压缩感知的窄带干扰重构与消除[J].电视技术,2014,38(19).
作者姓名:刘思聪  杨昉  宋健  李建岐  刘伟麟
作者单位:1. 清华大学电子工程系信息技术研究院,北京,100084
2. 中国电力科学研究院,北京,100192
基金项目:国家高技术研究发展计划(863计划);中国电力科学研究院项目
摘    要:提出了一种基于压缩感知的TDS-OFDM系统窄带干扰重构方法,通过利用相邻TDS-OFDM帧头的差分采样建立压缩感知模型,能够在不依赖信道估计及在高频谱效率的条件下,精确恢复窄带干扰信号并予以消除,显著提升传输系统传输鲁棒性。

关 键 词:窄带干扰(NBI)  压缩感知(CS)  正交频分复用(OFDM)
收稿时间:2014/3/18 0:00:00
修稿时间:2014/3/18 0:00:00

Narrowband Interference Reconstruction and Mitigation Based on Compressive Sensing
Liu Sicong,Yang Fang,Song Jian,Li Jianqi and Liu Weilin.Narrowband Interference Reconstruction and Mitigation Based on Compressive Sensing[J].Tv Engineering,2014,38(19).
Authors:Liu Sicong  Yang Fang  Song Jian  Li Jianqi and Liu Weilin
Affiliation:Department of Eletronic Engineering, Tsinghua University,Research Institute of Information Technology, Tsinghua University,Department of Eletronic Engineering, Tsinghua University,China Electric Power Research Institute,China Electric Power Research Institute
Abstract:In this paper, a novel approach of narrowband interference (NBI) reconstruction for time-domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) systems is proposed. Exploiting the difference measuring of the adjacent frame heads of TDS-OFDM, the NBI can be accurately recovered and cancelled with high spectrum-efficiency without relying on channel estimation, which improves the robustness of transmission systems.
Keywords:Narrowband interference (NBI)  compressive sensing (CS)  orthogonal frequency division multiplexing (OFDM)
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电视技术》浏览原始摘要信息
点击此处可从《电视技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号