基于部分频谱小波边缘检测的压缩宽带频谱感知  

Wideband Compressive Spectrum Sensing Based on Partial Spectrum Wavelet Edge Detection

作　　者：郑超 王洪斌 徐逸群 郭道省 ZHENG Chao;WANG Hongbin;XU Yiqun;GUO Daoxing(College of Communication Engineering,Army Engineering University of PLA,Nanjing 210007,China)

机构地区：[1]中国人民解放军陆军工程大学通信工程学院,南京210007

出　　处：《电讯技术》2021年第8期925-931,共7页Telecommunication Engineering

摘　　要：压缩宽带频谱感知是一种采用压缩感知技术去感知相对较宽的频谱的方法。针对压缩宽带频谱感知中信号重构引起的计算资源消耗比较大以及能量检测在低信噪比下感知性能差的问题,提出了基于部分频谱小波边缘检测的压缩宽带频谱感知方法。首先使用基于最大熵准则的部分傅里叶矩阵获得部分频谱,然后根据部分频谱进行小波边缘检测,最后判别。仿真结果证明了该方案的有效性和优异性。Compressed wideband spectrum sensing is a method that uses compressed sensing technology to sense a relatively wide spectrum.For the problems of large computational resource consumption caused by signal reconstruction in compressed wideband spectrum sensing and poor sensing performance of energy detection under low signal-to-noise ratio,a compressed wideband spectrum sensing method based on partial spectrum wavelet edge detection is proposed.The partial Fourier matrix of the criterion obtains part of the frequency spectrum,and then performs wavelet edge detection according to the part of the frequency spectrum,and finally decides.The simulation results prove the effectiveness and excellence of the scheme.

关 键 词：认知无线电 宽带频谱感知 压缩感知 小波边缘检测 最大熵准则 

分 类 号：TN911.23[电子电信—通信与信息系统]