【摘要】 传统的水下声信号检测方法的不足之处是在滤除噪声的同时,有用信号也受到损失,且随着噪声的增大,检测精度也会降低。针对强噪声背景下水下声呐信号频率解耦问题,采用马赫曾德光纤声呐传感器搜集水下声呐信号,当声呐信号注入混沌系统,利用混沌系统对信号参数的敏感性及对噪声免疫性的特点,一定频率的信号会使系统处于大尺度周期态,信噪比可以达到-65dB,对声呐信号锁频明显。理论计算和实验结果表明,该混沌声呐信号处理方法具有极低的信噪比和较高的频率辨识能力。更多还原

【Abstract】 The insufficiency of traditional underwater acoustic signal detection methods is that with the noise being filtered out the useful signal is also lost and with the noise increasing the detection accuracy is also decreased. In order to solve the frequency decoupling problem of underwater sonar signal under strong noise background,the underwater sonar signal is collected by the Mach-Zehnder fiber sonar sensor. When the sonar signal is injected into the chaotic system,the sensitivity of the chaotic system to the signal parameters and the immunity to noise are used. A certain frequency signal will make the system in a large-scale periodic state;the signal-to-noise ratio can reach-65 dB;and the frequency of the sonar signal is obviously locked. Theoretical calculations and experimental results show that the chaotic sonar signal processing method has an extremely low SNR and high frequency identification capability.更多还原