混沌振子弱信号能量检测方法

摘要

提出了一种Duffing弱信号能量检测方法.通过能量算法对不同状态下Duffing振子的频率分布特性进行分析,得到了一种基于瞬时频率的Duffing振子状态判别方法,并进一步给出了相变判别阈值的设定准则,且对检测算法的抗噪性和实时性进行了分析.仿真实验表明,该方法的计算量和实时性比传统相变判别算法有明显的改善,可满足强噪声背景下微弱信号的快速检测要求.%A novel Duffing detection method based on energy separation algorithm is proposed.The frequency distribution characteristics of the Duffing system in different states are investigated and an identification method is obtained with the instantaneous frequency,then the selection rule of identification threshold is given.The noise immunity and real-time property of the method are analyzed.Simulations show that the algorithm complexity and real-time performance of the method are significantly improved and it can meet the needs of the weak signal detection under the strong noise background.