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中文摘要：
频谱感知技术是认知无线电实现的关键,对解决频谱资源匮乏的问题起着举足轻重的作用,因此受到业界的广泛关注。在分析比较了三种常见的频谱检测技术后,提出了一种在未知噪声下的基于小波包变换的能量检测算法,通过小波包变换对噪声和信号功率进行估计从而得到较为准确的判决门限。仿真结果显示,在未知噪声情况下的该算法具有较好的鲁棒性,有望成为适于认知无线电应用的频谱感知技术。
英文摘要：
Spectrum sensing is a key technology in cognitive radio and attracts much attention from wireless communication field.Based on comparison of the three common spectrum sensing methods,an energy detection algorithm based on wavelet packet transform under unknown noise is proposed.By means of wavelet packet transform,the noise power and signal power are estimated,and the threshold for spectrum sensing is obtained.The simulation shows that the proposed algorithm has the robustness to the noise uncertainty and is a quite promising technology for CR applications.
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