基于小波变换的频谱检测算法改进  

The Multi-resolution Spectrum Detection Algorithm Based Wavelet Transform

作　　者：刘力天[1] 刘小兵 刘盛铭[3] 

机构地区：[1]装备指挥技术学院信息装备系,北京101416 [2]63891部队 [3]73336部队

出　　处：《装备指挥技术学院学报》2011年第6期81-85,共5页Journal of the Academy of Equipment Command & Technology

基　　金：部委级资助项目

摘　　要：随着无线通信技术的飞速发展，致使频谱资源日趋紧张，认知无线电技术被认为是解决频谱资源紧缺的有效方法，频谱检测是其重要的环节。首先对常规能量检测法进行分析，指出其易受噪声不确定性的影响，对此提出了基于小波变换的多分辨率能量检测算法，理论分析及仿真结果表明，改进算法能很好地抑制噪声不确定性的影响，满足低信噪比条件的频谱检测要求。With the rapid development of the wireless communications technology, radio spectrum has become a kind of scare resources. Cognitive radio （CR） technology is being recognized as an efficient method in dealing with the scare spectrum resource and spectrum detection is one of the important steps in CR. According to a brief analysis of the traditional energy detection algorithms which would reduce the detection probability due to the influence of the uncertain noise, the multi-resolution spectrum detection algorithm based wavelet transform is proposed in this paper. Theory analysis and simulation results have shown that novel algorithm can restrain the influence of the uncertain noise,and achieved the detection desired basically in the low SNR.

关 键 词：认知无线电 能量检测 小波变换 多分辨率能量检测 

分 类 号：TN92[电子电信—通信与信息系统]