一种基于小波包熵的频谱检测算法  

An Algorithm for Spectrum Sensing Based on Wavelet Packet Entropy

作　　者：仇帅[1] 陈西宏[1] 赵宇[1] 张群[2] 

机构地区：[1]空军工程大学防空反导学院,陕西西安710051 [2]空军工程大学信息与导航学院,陕西西安710077

出　　处：《南京邮电大学学报（自然科学版）》2013年第6期65-68,共4页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：国家自然科学基金(60971100)资助项目

摘　　要：为了解决能量检测算法在低信噪比条件下频谱检测性能差的问题,提出了一种基于小波包熵的频谱检测算法。首先采用小波包变换对接收信号进行多层分解,并计算最后一层各节点的重构信号;然后计算各个节点重构信号的小波包熵值;最后选取熵值最小的重构信号作为检测信号进行能量检测。理论分析及仿真结果表明,在低信噪比情况下,该算法可以有效地抑制噪声影响,提高频谱检测性能。An algorithm for spectrum sensing based on wavelet packet entropy （WPE）is proposed in order to improve the energy detection performance in the case of low SNR.Firstly,wavelet packet transform was used to decompose the received signal into several nodes and the reconstructed signals of each node in the last layer were got.Then,the wavelet packet entropy of each reconstructed signal was calculated.Finally,the reconstructed signal with minimum wavelet packet entropy was selected for energy detection.Theory analysis and simulation results have shown that,in the case of low SNR,the proposed method could efficiently restrain the influence of the noise and improve the detection performance.

关 键 词：小波包变换 小波包熵 重构信号 能量检测 

分 类 号：TN911.7[电子电信—通信与信息系统] TN926[电子电信—信息与通信工程]