摘要
提出了一种基于压缩感知的非重构频谱检测算法,将压缩感知处理得到的观测值直接用于主用户检测,解决了宽频主用户信号的检测问题。文中定量分析了检测性能,并通过认知用户的协作频谱检测对算法进行了改进。仿真结果表明,该算法在信噪比大于0 dB环境下具有良好的检测效果,协作检测法可作为低信噪比环境下算法的有效改善途径。此外,相比于基于重构的频谱检测算法,该算法大大降低了数据量和算法复杂度,显著缩短了检测时间。
A novel non-reconstruction spectrum detection algorithm based on compressed sensing is proposed.The measurements from the compressed sensing process are directly used for the primary user detection to address the wind-band spectrum detection problem.We quantitatively analyze the performance of detection,and improve it by cooperative spectrum detection.Simulation results show that the new algorithm has good detection effect where SNR is above 0 dB.Cooperative spectrum detection can be an effective acternative to improve the algorithm performance under low SNR.Meanwhile,compared with the algorithm based on reconstruction,the proposed algorithm greatly reduces the amount of data and algorithm complexity,and significantly reduces the detection time.
出处
《南京邮电大学学报（自然科学版）》
2010年第6期1-6,共6页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家高技术研究发展计划(863计划)项目(2009AA01Z241)
国家自然科学基金(60971129)资助项目
关键词
认知无线电
频谱检测
压缩感知
匹配滤波器
cognitive radio
spectrum sensing
compressed sensing
matched-filtering
