南京邮电大学学报（自然科学版）2012，Vol.32Issue(6)：1-6,6.
基于压缩感知的宽带频谱检测
Wideband Spectrum Detection Based on Compressed Sensing
摘要
Abstract
Compression Sensing is a new theory in sparse signal processing field which has been proposed in recent years. It combines the signal compression and sampling simultaneously. It breaks through the bottlenecks of Shannon sampling theorem and makes the high resolution signal acquisition possible since the signal measurement data is far less than those by using the conventional method. Spectrum detection in cognitive radio technology is one of key technologies, it requires the second user to quickly detect whether the primary user occupies the interested spectrum. Because the spectrum is sparse in cognitive radio, by u-sing the compressed sensing technology on wideband spectrum detection with a small amount of compressed data, it can find out the idle band. This paper firstly establishes a model of wideband spectrum on compressed sensing, and proposes an algorithm of multi-scales with multi-sensors in rough wideband spectrum detection process. In this paper,we discuss detection performance in high and low SNR environment and propose the corresponding denoising approach. In the further process of sub-band detection,we deduce and demonstrate the non-reconstruction compressed sensing detection algorithm. Simulation results verify the effectiveness and feasibility of the algorithm.关键词
压缩感知/频谱检测/观测矩阵/约束等距性Key words
compressed sensing/spectrum detection/measurement matrix/restricted isometric property分类
信息技术与安全科学引用本文复制引用
王韦刚,杨震..基于压缩感知的宽带频谱检测[J].南京邮电大学学报（自然科学版）,2012,32(6):1-6,6.基金项目
国家重点基础研究发展计划(973计划)(2011CB302903)、国家自然科学基金(60971129,61071092,61271335)和南京邮电大学青蓝计划(NY210038)资助项目 （973计划）
