自适应多分辨率宽带频谱压缩感知

项目名称： 自适应多分辨率宽带频谱压缩感知

项目编号： No.61271181

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 郭文彬

作者单位： 北京邮电大学

项目金额： 75万元

中文摘要： 宽带频谱压缩感知利用信号的稀疏特征，为低于Nyquist采样率恢复原始信号提供了一种可行的方法，这大大降低了宽带频谱的复杂度。认知无线电提出通过频谱感知和动态再用频谱的概念来提高无线频谱的效率，需要有效感知宽带无线频谱。然而实际宽带频谱通常由多个不同无线系统组成，其信号调制方式、带宽不同，要求频谱感知具有不同分辨率；同时认知用户的不同业务需求也要求频谱感知具有多分辨率。 本项目主要研究具有多分辨率能力的压缩感知架构与算法。考虑到实际应用中，无线信号的传输环境衰落、宽带频谱中授权无线系统用户动态占用与退出，造成感知的无线宽带频谱呈现时变、动态特征，其信号的支撑频率是随时间变化的，分析捕获信号前后稀疏支撑集变化特征，研究针对稀疏度变化的自适应压缩感知方法。研究成果可用于监测雷达系统、无线电监测、认知无线电等系统。

中文关键词： 压缩感知；自适应；高斯-马尔科夫模型；多分辨率；卡尔曼滤波

英文摘要： Compressed sensing is an efficient way to reduce the sampling rate below Nyquist sampling rate while still containing the whole signal's information presuming that the signal is sparse under certain basises. In order to better utilize the radio spectrum, cognitive radio is proposed to dynamically sense the wideband spectrum and agily reuse the licensed spectrum, which will greatly increase the efficiency of the radio spectrum. However, the wideband spectrum consists of many wireless communications with different signal modulations and bandwidth. Moreover, the fading environment may deteriorate the sensing signal and lead to sensing mistakes, that could probably interfere the licensed users greatly. Thus, an efficient wideband spectrum sensing method is necessary to consider the different bandwidh of signals and fading environments. In this proposal, we try to develop efficient multi-resolution based compressed sensing methods and algorithms for the wideband spectrum containing different bandwidth signals. Different resolution sensing can help the cognitive radio to allocate diffent bandwidth to different cognitive users according to their different QoS requirements. More practically, we consider the radio spectrum is dynamic itself that may caused by transmission environment, licensed user occupying and qui

英文关键词： compressed sensing；adaptive；gauss-Markov model；multiresolution；Kalman filtering