Spectrum sensing is a key technique for future intelligent networks, such as AdHoc network, wireless sensor networks. However, the existing works suffer from high computational complexity, which is a huge challenge for those networks composed of many nodes with the limited computing capabilities. In this paper, we propose a simple and novel method based on the generalized likelihood ratio test(GLRT) criterion and offer a specific algorithm based on maximum value of power spectrum calculated by multitaper spectral estimation. We first derive the statistical characteristics and probability density function of test statistic, and the closed-form expression of detection probability and false-alarm probability are obtained. Then, we carry out some simulations to verify the proposed algorithm by taking BPSK signal as an example. In the simulations, we compare the sensing performance between the proposed algorithm and the existing methods. Both theoretical analysis and simulation results demonstrate the advantages of the proposed algorithm over the existing methods.

频谱感测是未来智能网络（例如AdHoc网络，无线传感器网络）的一项关键技术。但是，现有的工作具有很高的计算复杂度，这对于由许多具有有限计算能力的节点组成的网络来说是一个巨大的挑战。在本文中，我们提出了一种基于广义似然比检验（GLRT）准则的简单新颖的方法，并提供了一种基于多锥频谱估计计算出的功率谱最大值的特定算法。首先推导检验统计量的统计特征和概率密度函数，得到检测概率和虚警概率的封闭式。然后，以BPSK信号为例，进行了仿真实验，验证了所提算法的有效性。在模拟中 我们比较了所提算法和现有方法的传感性能。理论分析和仿真结果均证明了该算法相对于现有方法的优势。