认知无线电中基于压缩感知的非重构频谱检测算法  

Algorithm of Compressed-Sensing-Based Non-reconstructed Spectrum Detection in Cognitive Radio

作　　者：安爽 邵建华[1] AN Shuang;SHAO Jian-hua(School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)

机构地区：[1]南京师范大学物理科学与技术学院

出　　处：《科学技术与工程》2020年第1期234-238,共5页Science Technology and Engineering

摘　　要：基于压缩感知的频谱感知研究多是要重构出原始信号,而重构的精确度却直接影响到频谱检测的效果,为降低由此因素而造成的低检测率以及计算复杂度,提出一种在压缩感知框架下的非重构频谱检测算法,将信道划分为多个小信道,依次感知每个小信道,得出所划分信道组的采样协方差矩阵,再与能量检测算法结合分析最终得到每个小信道中的占用情况。对不同的压缩率、信噪比以及用户数分别进行仿真,仿真的结果表明,当压缩率在30%以上和信噪比在-6 dB以上时检测效果较为理想,且多用户的情况下检测概率更高。相对于重构算法,本算法的检测概率更高,计算复杂度更低,检测时间也更短。The research of spectrum sensing based on compressed sensing needs mostly to reconstruct the original signal,but the accuracy of reconstruction may affect directly the result of spectrum detection.To reduce the low detection rate and computational complexity,an algorithm of non-reconstructed spectrum detection was proposed based on compressed sensing framework,in which the channel was divided into multiple small channels and each small channel was sensed in turn,from which a sampling covariance matrix of the divided channel group could be established and then combined with the energy detection algorithm to obtain each small channel occupation at last.Different compression ratios,signal-to-noise ratios,and the number of users were simulated.Results show that optimal detection could be reached under the conditions of compression ratio above 30%and signal-to-noise ratio above-6 dB,under which the detection probability was higher in the case of multi-users.Compared with the reconstructed algorithm,the non-reconstructed algorithm had a higher detection probability,lower computational complexity,and shorter detection time.

关 键 词：压缩感知 非重构 采样协方差 压缩率 信噪比 检测时间 

分 类 号：TN929.5[电子电信—通信与信息系统]