基于互相关与混沌理论相结合的水下目标信号检测

鉴于当前传统的检测理论基础上的噪声抑制技术其指标已达极限,为了弥补互相关方法应用的局限性,文中将常规互相关检测方法与混沌检测方法相结合,构成一个新的微弱正弦信号检测系统,通过混沌系统相轨迹变化来检测目标信号,实现了强噪声背景下弱信号的检测,并用梅尔尼科夫函数给出了系统出现混沌状态的阈值。仿真结果表明,该检测系统对被强噪声覆盖的微弱正弦信号非常敏感,对任何零均值噪声具有极强的抑制能力。

Detection of Underwater Target Signals by Combining Cross-Correlation with Chaos Theroy

The indexes of current noise restraint technology based on traditional detection theory have already reached their limits.In order to overcome the limitation in application of cross-correlation method,a new detection system for weak sine signal is proposed by combining the common cross-correlation detection method with chaotic detection method.Therefore,the detection of weak signal from strong noise background is realized by changing phase trajectory of chaotic system.The chaotic threshold in chaos-based detection system is analytically determined using the Melnikov function method.Simulation result shows that the system is very sensitive to weak sine signal under strong noise,and can effectively restrain any strong noise with zero mean.