摘要
在电子信息、电力控制、通信、生物学等领域,都不同程度地需要进行微弱信号检测,为了提取强噪声背景下的微弱信号的幅值和频率,通过对混沌系统的Duffing方程动力学特性的分析,利用该系统对周期信号的敏感性和对噪声的免疫性,构建了多重相关和混沌振子相结合的微弱信号检测系统,并对具有代表性的微弱正弦信号进行了仿真检测;仿真实验表明:该系统可以对未知纳伏级的正弦信号幅值和频率进行有效的提取,并可达到较高的精度,同时也可进一步提高对低信噪比信号的检测能力。
In the electronic information, power control, communication, biology and other fields, all of which need to weak signal detection in different levels, in order to extract the amplitude and frequency of a weak signal which is in the background of strong noise, by analy sis of the dynamic character of the chaotic system＇s Duffing equation, using periodic signal sensitivity and noise immunity of the chaotic system, a system of weak signal detection based on combining multiple correlation with chaotic oscillator was built, and detected the typical weak sinusoidal signal. Simulation results show that： the system can extract the amplitude and frequency of a unknown nV--level sine signal, get a higher precision, and can further improve the low SNR signal detection capabilities.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第12期3141-3142,3150,共3页
Computer Measurement &Control
基金
国家自然科学基金(61077037)
