混沌振子弱信号能量检测方法  

Chaotic Oscillator Detection Method for Weak Signals

作　　者：孙文军[1] 芮国胜[2] 张洋[2] 王林[1] 

机构地区：[1]海军航空工程学院研究生管理大队,烟台264001 [2]海军航空工程学院电子信息工程系,烟台264001

出　　处：《数据采集与处理》2013年第3期352-357,共6页Journal of Data Acquisition and Processing

基　　金："泰山学者"建设工程专项经费资助项目

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 investi- gated and an identification method is obtained with the instantaneous frequency, then the selec- tion 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 perform- ance of the method are significantly improved and it can meet the needs of the weak signal de- tection under the strong noise background.

关 键 词：混沌检测 能量分离算法 判别阈值 实时性 

分 类 号：TN911.7[电子电信—通信与信息系统]