压缩感知在认知无线电中的应用  

Overview of Cognitive Radio Based on Compressed Sensing Theory

作　　者：李轶南[1] 吴军华[2] 张雄伟[3] 杨吉斌[3] 张立伟[1] 

机构地区：[1]解放军理工大学指挥信息系统学院研究生1队,江苏南京210007 [2]解放军理工大学科研部,江苏南京210007 [3]解放军理工大学指挥信息系统学院

出　　处：《军事通信技术》2013年第4期25-32,共8页Journal of Military Communications Technology

基　　金：江苏省自然科学基金资助项目(BK2012510)

摘　　要：频谱感知是认知无线电的关键技术之一。随着无线宽带技术的快速发展,宽带频谱感知在频谱信息的采集、存储和处理方面遇到了空前的挑战。如何在缓解这些压力的同时又能够有效获取频谱空洞成为亟需解决的问题。近年来出现压缩感知(CS)理论能够以欠奈奎斯特(Nyquist)采样速率感知信号,为解决上述问题提供了新的思路。文章首先简要阐述了压缩感知理论框架;然后着重介绍了几种基于压缩感知理论框架的宽带频谱感知新技术,并就这些方法进行了分析和评论;最后探讨了相关技术的未来发展方向。Spectrum sensing is one of the most essential components of cognitive radio. With the rapid development of wireless wideband technology, there is a great challenge in wideband spectrum sensing in terms of high speed sampling, large volume data storage and processing. How to acquire the spectrum holes efficiently is an urgent problem in cognitive radio fields. In recent years, the emerging theorem of signal acquirement named compressed sensing provides a new viewpoint of wideband spectrum sensing due to its subNyquist sampling rate. The framework of the compressed sensing theorem was briefly introduced. The latest methods of wideband spectrum sensing based on this framework were presented and analyzed. Finally, the prospective research on wideband spectrum sensing was described.

关 键 词：压缩感知 认知无线电 宽带频谱感知 欠奈奎斯特采样速率 

分 类 号：TN911.7[电子电信—通信与信息系统]