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一种基于小波包熵的频谱检测算法
引用本文:仇帅,陈西宏,赵宇,张群.一种基于小波包熵的频谱检测算法[J].南京邮电大学学报(自然科学版),2013(6):65-68.
作者姓名:仇帅  陈西宏  赵宇  张群
作者单位:[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
基金项目: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.

关 键 词:小波包变换  小波包熵  重构信号  能量检测

An Algorithm for Spectrum Sensing Based on Wavelet Packet Entropy
QIU Shuai,CHEN Xi-hong,ZHAO Yu,ZHANG Qun.An Algorithm for Spectrum Sensing Based on Wavelet Packet Entropy[J].Journal of Nanjing University of Posts and Telecommunications,2013(6):65-68.
Authors:QIU Shuai  CHEN Xi-hong  ZHAO Yu  ZHANG Qun
Institution:1.Air and Missile Defense College, Air Force Engineering University, Xi' an 710051, China; 2.Information and Navigation College, Air Force Engineering University, Xi' an 710077, China;)
Abstract: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.
Keywords:wavelet packet transform  wavelet packet entropy  reconstructed signal  energy detection
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