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基于传统能量检测算法,提出了一种用于频谱感知的增强型能量检测算法,即利用对接收信号绝对幅度值的任意正数次方代替平方操作。在给定虚警概率时,理论推导出该算法在加性高斯白噪声信道中对随机信号的检测概率的闭合表达式。仿真表明,在不同信噪比条件下,与传统能量检测器相比,最优的增强型能量检测器能够体现出更佳的性能,尤其是在低信噪比情况下。
Based on the traditional energy detection algorithm, an enhanced energy detection algorithm for spectrum sensing is proposed, in which the square operation is replaced by any positive power of the absolute amplitude of the received signal. Given a false alarm probability, the theory deduces the closed-form expression for the detection probability of the random signal in additive white Gaussian noise channel. Simulation shows that the optimal enhanced energy detector can show better performance under different signal-to-noise ratio conditions than traditional energy detectors, especially at low signal-to-noise ratio.