传统的能量感知算法对噪声比较敏感,在较低的信噪比条件下检测准确性易受到影响,循环特征检测法计算复杂度偏高,为此提出了基于能量检测和小波变换(WT)感知的双门限联合检测算法.该算法对双门限区间以外的区域采用能量检测进行判定,双门限范围内的不确定区域进行小波感知,并根据信道中噪声不确定性自适应调整双门限值,当信道质量较好时,减小两门限之间的距离,否则增大两门限之间的距离,从而控制进行小波感知的概率.仿真结果表明,此算法有效地提高了低信噪比条件下系统的检测性能,降低了算法的复杂度. The traditional energy-aware algorithms are sensitive to noise, the detection accuracy is easily affected at low signal-to-noise ratio, and the computational complexity of the cyclic feature detection method is high. Therefore, based on the energy detection and wavelet transform (WT) perception The algorithm detects the area outside the double-threshold interval by using energy detection and detects the wavelet in the uncertain region within the double-threshold range, and adjusts the double-threshold adaptively according to the noise uncertainty in the channel, When the channel quality is better, the distance between the two thresholds is reduced, otherwise the distance between the two thresholds is increased, so as to control the probability of wavelet perception. Simulation results show that this algorithm effectively improves the low signal-to-noise ratio The detection performance of the system reduces the complexity of the algorithm.