An adaptive wavelet modulation scheme based on cognitive radio is proposed for solving the shortcoming of low frequency-band efficiency of wavelet modulation. The weight is adjusted, the power of different noise sensitivity signal is controlled, and the dynamic spectrum allocation is performed by sensing the occupation of channel resource real-timely, using the coloring-based greedy algorithm and achieving the minimum value of mean-square error. The results of simulation implemented in the additive white Gaussian noise channel show that the performance of adaptive wavelet modulation scheme is superior to traditional wavelet modulation.%为了解决小波调制频带利用率不高的缺点,提出了一种基于认知无线电的自适应小波调制方案.通过实时感知信道频谱占用情况,运用基于着色理论的贪婪算法,并以均方误差达到最小值为准则,调整权值,控制信源中各种不同的噪声敏感度信号的功率,实行动态频谱分配.在高斯白噪声信道中对其进行了仿真,仿真结果表明,在传递不同的噪声敏感度信号时,自适应小波调制方案的性能优于传统平均功率分配的小波调制.
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