Spectrum sensing is the first stage of cognitive radio. As a powerful mathematical tool for analyzing singularities and edge, the wavelet transform is used to detect and estimate the irregularity change of local spectrum. Aim to the limitation of edge detection using wavelet transform, the article puts out a method to detect the edge of spectrum which has the features of non-stationary change in the band and consecutive change between the bands. To deal with the original spectrum and analyze the characters of rising and falling peaks, wavelet transform is used to realize the edge detection, and then the method is validated. The simulation results show that the method can divide the spectrum into several bands and then realize the edge detection of spectrum.%频谱感知是认知无线电实现的首要步骤.作为分析奇异点和边缘检测的强大数学工具,小波变换被用于探测和估计局部频谱的不规则变化.针对小波变换实现频谱边缘检测的局限条件,提出一种带内非平稳变化,边界连续变化的频谱边缘检测方法.通过对原始频谱信号进行数据预处理和结果峰值变化特性分析,利用小波变换实现频段的边缘划分,最后进行仿真验证.仿真结果表明:本算法能够将带内不光滑且边界连续变化的频谱有效的划分成若干独立频段,从而实现信号频谱边缘检测.
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