Maximum-Minimum Eigenvalue Detection for Cognitive Radio
Maximum-Minimum Eigenvalue Detection for Cognitive Radio
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DOI：
10.1109/pimrc.2007.4394211
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发表时间：
2007-12
期刊：
影响因子：
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通讯作者：
Yonghong Zeng;Ying-Chang Liang
中科院分区：
文献类型：
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作者：
Yonghong Zeng;Ying-Chang Liang
感知（信号检测）是认知无线电中的一个基本问题。本文提出了一种基于接收信号协方差矩阵特征值的检测方法。结果表明，最大特征值与最小特征值之比可以用来检测信号的存在性。基于最新的随机矩阵理论，我们可以对该比值进行量化，并找到阈值。利用RMT方法还可以得到虚警概率。该方法克服了噪声不确定性的困难，同时保持了能量检测的优点。该方法可用于各种传感应用，而无需了解信号、信道和噪声功率。基于随机产生的信号和捕获的ATSC数字电视信号的仿真来验证该方法。
Sensing (signal detection) is a fundamental problem in cognitive radio. In this paper, a new method is proposed based on the eigenvalues of the covariance matrix of the received signal. It is shown that the ratio of the maximum eigenvalue to the minimum eigenvalue can be used to detect the signal existence. Based on some latest random matrix theories (RMT), we can quantize the ratio and find the threshold. The probability of false alarm is also found by using the RMT. The proposed method overcomes the noise uncertainty difficulty while keeps the advantages of the energy detection. The method can be used for various sensing applications without knowledge of the signal, the channel and noise power. Simulations based on randomly generated signals and captured ATSC DTV signals are presented to verify the methods.