| 摘要: |
| 针对传统宽带频谱感知算法速度慢、设备复杂度高、对实际信号适用性不强等问题，
提出了一种基于多尺度小波模极大融合的宽带频谱感知算法，根据信号带宽等因素选择合适
尺度下的小波变换结果进行信号检测，能够准确估计频带范围内信号个数、载频、带宽、信
噪比等参数。实际信号测试证明了这一算法的有效性。该算法对频谱监测、认知无线电（CR
）频谱感知具有一定实用价值。 |
| 关键词: 认知无线电 频谱感知 频谱监测 边缘检测 小波模极大 |
| DOI： |
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| 基金项目: |
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| A Multi-scale Wavelet Modulus Maxima Fusion Approach for Wideband Spectrum Sensing |
| WANG Gui-liang,LU You-rong,HAN Meng,XU Gang |
| (Southwest Electronics and Telecommunication Technology Research Institute, Chengdu 610041,China) |
| Abstract: |
| To cope with the low speed, high equipment complexity of the tradition
al wideband spectrum sensing methods, this paper proposes a novel wideband spec
trum sensing method based on multi-scale wavelet modulus maxima fusion, which ca
n accurately estimate the number, carrier frequency, bandwidth, signal to noise
ratio and other parameters of signal within the frequency range. Simulation res
ults show the effectiveness of the proposed technique. This technique is of usef
ul for cognitive radio(CR) spectrum sensing and monitoring. |
| Key words: cognitive radio spectrum sensing spectrum monitoring edge detection wavelet modulus maxima |
《电讯技术》编辑部 