论文标题
基于力矩的频谱在广义噪声通道下感测
Moment-based Spectrum Sensing Under Generalized Noise Channels
论文作者
论文摘要
当新频谱检测器在广义噪声通道下运行时，提出了一个新的频谱传感探测器。特别是，McLeish分布用于建模潜在的噪声，这既适用于非高斯（冲动）和经典的高斯噪声建模。引入的检测器采用了一种基于力矩的方法，而不需要知道发射信号和通道褪色统计（即盲目检测）。重要的性能指标以封闭形式呈现，例如错误的警报概率，检测概率和决策阈值。分析和仿真结果跨核对验证了所提出方法的准确性。最后，证明所提出的方法在噪声不确定性的实际情况下优于常规能量探测器，但引入了可比的计算复杂性。
A new spectrum sensing detector is proposed and analytically studied, when it operates under generalized noise channels. Particularly, the McLeish distribution is used to model the underlying noise, which is suitable for both non-Gaussian (impulsive) as well as classical Gaussian noise modeling. The introduced detector adopts a moment-based approach, whereas it is not required to know the transmit signal and channel fading statistics (i.e., blind detection). Important performance metrics are presented in closed forms, such as the false-alarm probability, detection probability and decision threshold. Analytical and simulation results are cross-compared validating the accuracy of the proposed approach. Finally, it is demonstrated that the proposed approach outperforms the conventional energy detector in the practical case of noise uncertainty, yet introducing a comparable computational complexity.
