基于混沌振子周期区域的微弱信号检测方法

混沌振子微弱信号检测方法中存在着输出信号时域判别的抗干扰性差、宽频率范围信号检测系统复杂等问题。本文利用混沌振子对噪声处理的优势,提出一种新的强噪声背景中微弱周期信号检测方法。通过提取周期1外轨区域的Poincaré截面,得到一种频率为振子周期策动力与待检测信号频率差的周期信号,而该周期信号对噪声具有很强的抑制。应用所提方法对一个频率段的正弦信号进行检测,实现了低于-110dB信噪比条件下高斯白噪声背景中正弦信号检测。

Method of weak signal detecting based on periodic region of chaotic oscillator

There are several problems in weak signal detecting method based on chaotic oscillator, such as the bad anti-disturbance performance of time domain identification on output signal and the complexity of wide-range frequency detection system. A novel weak signal detecting method under strong noise background is proposed by taking the advantage of chaotic oscillator at noise management. The Poincare section in period-1 outer orbit region is inter- cepted in order to obtain the noise restrain periodic signal, which frequency equals the difference between oscillator periodic force and the detected signal. The proposed method is used for the detection on a range of sine signal and the correct detection is realized under AWGN background of-110 dB SNR below.