中文摘要：

针对电气化铁路中强干扰环境下ZPW-2000移频信号的检测问题，分析基于快速傅里叶变换方法的传统检测方法的不足。根据混沌系统对噪声免疫及对初始条件敏感的特性，选取 Holmes 型 Duffing 振子检测 ZPW-2000移频信号。利用混沌系统输出信号的方差与内策动力频率之间的规律及对时域输出的过零点间距的判断检测出上下边频、载频以及低频。最后利用Matlab/Simulink建立仿真模型，仿真结果表明，利用该方法检测 ZPW-2000移频信号较传统检测方法具有更好的抗干扰能力和较高的检测精度。

英文摘要：

Concerning the problem of ZPW-2000 frequency-shift signal detection in strong noise interference of electric railway, this paper analyzes the insufficiency of traditional detection methods based on Fast Fourier Transform. According to characteristics of the chaos system immune to the noise and sensitive to initial condition, Holmes type Duffing oscillator is selected to detect ZPW-2000 frequency-shift signal. The regularities between the chaotic system output signal variance, the driving force frequency, and the judgment of the zero distance in time domain to detect the high and low frequency and carrier frequency. Finally a simulation model is established with Matlab/Simulink, and the simulation results show that the proposed method of testing ZPW-2000 has better anti-noise ability and higher detection precision than traditional detection method.