突发信号存在性自适应盲检测算法

Adaptive blind presence detection algorithm for burst signals

提出了一种突发信号存在性自适应盲检测算法,采用谱方差作为检测函数,通过设置噪声函数集来跟踪背景噪声的变化,实时自适应调整门限值,然后采用长度控制与状态转换的判决机制改善检测函数的抖动对判决结果的影响,提高了突发信号的正确检测概率。仿真结果表明,所提算法与短时能量法和谱熵法相比,具有较好的稳健性,尤其在低信噪比条件下具有更好的检测性能。

An adaptive blind presence detection algorithm for burst signals was proposed in this paper.A spectral variance function was chosen as the detection function the change of background noise was tracked by establishing a noise function set with the threshold adjusted adaptively in real time.Then the length of control and a stat-transition mechanism were used to mitigate the effect of dithering of detection function on the decision results.The simulation results show that the proposed method has a better robustness and a higher detection probability for burst signals compared with short-time energy method and spectral entropy method.