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一种基于特征值与接收信号功率的频谱检测方法

Spectrum Detection Method Based on Maximum Eigenvalue and Received Signal Power
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摘要 频谱检测是认知无线电中的核心部分，为了提高认知系统的频谱检测能力，文章以最大化信噪比为原则，提出一种利用自相关矩阵最大特征值与接收信号平均功率之比作为检测统计量的频谱检测方法；该方法无需信号先验信息、噪声功率、信道信息和精确同步，不受噪声不确定性的影响，仿真实现表明该方法与不同噪声不确定度的MED和能量检测相比，具有更好的检测效果和鲁棒性。 Spectrum detection is a key part of cognitive radio（CR）. In order to improve the detection performance of cognitive system, and on the principle of maximizing the signal-to-noise ratio （SNR）. A detection method is proposed in this paper, which employs the ratio of the maximum eigenvalue of autocorrelation matrix and average power of received signals as test statistic. Any priori information of signal, noise power and channel, also, perfect synchronization of signals are not required in this method. And the influence results from noise uncertainty of energy detection can be avoided. Simulations show that compared with MED method and energy detection method with different noise uncertainty, the proposed sensing algorithm has a better performance and stronger robustness.
作者 陈小波 陈红 贾占彪 付欣
机构地区 电子工程学院 镇江船艇学院 [
出处 《电子对抗》 2012年第5期13-16,24,共5页 Electronic Warfare
关键词 频谱检测 自相关矩阵 最大特征值 信号功率 spectrum detection autoeorrelation matrix maximum eigenvalue signal power
分类号 TN929.52 [电子电信—通信与信息系统]
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参考文献9

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二级参考文献15

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共引文献46

电子对抗
2012年 第5期

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