摘要
本文应用TMS320C6203B实现了基于混沌理论的微弱信号频率检测。通过分析杜芬振子的阵发混沌运动机理,得出了利用过零率求取阵发混沌周期并进行微弱信号频率检测的方法,并通过改变策动力的频率,系统可检测各种频率的微弱正弦信号。结合DSP系统的优点,搭建了基于DSP和混沌理论的微弱信号检测系统,并对系统工作流程进行了研究。最后,对不同频率的正弦周期信号进行了相应的频率检测,实验结果证明了此系统的可行性和有效性。
In this paper, Using DSP TMS320C6203B realized the frequency detection of weak signals based on chaos theory. Through analyzing the intermittent chaos mechanics of Duffing oscillator, it was concluded that a method of using zero-pass ratio to evaluate intermitent chaotic motion period and detect the frequency of weak signals. Moreover, by modifying the driving frequency, it fit for detecting weak sinusoidal signals with any frequency. Combined with the advantage of DSP, it is established the system of Weak Signals detection based on DSP and chaos theory, and study its working flow. Finally, it is conducted experiments to different sinusoidal periodic signals. Its results show that the system is feasible and effective.
出处
《微计算机信息》
北大核心
2008年第35期36-38,共3页
Control & Automation
基金
国家重点实验基金(51444030105JB1101)
项目名称:近程混响干扰的非线性抑制技术研究
颁发部门:国家自然科学基金委员会
项目申请人:姜可宇
项目批准时间:2005年