基于非重构压缩采样的盲频谱检测算法  

Blind Spectrum Detection Algorithm based on Non- reconstruction Compressed Sampling

作　　者：吴昊[1] 陈勇[1] 刘莉莉 

机构地区：[1]总参第63研究所 [2]二炮电磁频谱管理中心技术保障室

出　　处：《现代军事通信》2014年第1期46-49,共4页

摘　　要：提出基于非重构压缩采样的盲频谱检测算法，通过将压缩采样后的观测值直接作为频谱检测的输入数据，在不重构原始信号的情况下，构建频谱检测模型，并推导出检测性能的闭解表达式。仿真结果表明，在高斯白噪声信道中，该算法在压缩比大于0．1，且虚警概率为10-3，信噪比大于-3dB时具有良好的检测效果。A novel non-reconstruction blind spectrum detection algorithm based on compressed sampling is proposed. The measurements from compressed sampling are directly used as input data of spectrum detec- tion. Then, we establish a blind spectrum detection model based on energy statistics without reconstruc- ting the original signal, and deduce the closed expression of detection performance. Simulation results show that the algorithm can be an effective alternative to improve detection performance in AWGN chan- nel. Compressed radio is above 0.1, false alarm probability is 10-3, and SNR is above --3 dB.

关 键 词：压缩采样 盲频谱检测 压缩比 

分 类 号：TN929.52[电子电信—通信与信息系统]