混沌背景中微弱信号参数估计新方法

A novel method of estimating weak signal parameter in chaotic background

本文提出一种基于单向耦合同步的混沌背景中谐波频率估计的新方法。该方法把混沌背景中的谐波频率估计问题转变为同步误差中的谐波频率估计问题,改善了信噪比,在混沌背景中存在强随机噪声情况下,仍能估计出谐波信号频率。仿真实验表明,该方法简单有效,计算量小,且估计效果要优于RBF神经网络方法。

In this paper, a novel approach based on unidirectional coupling synchronization is proposed to estimate harmonic frequencies in chaotic background. The problem of harmonic frequency estimation in chaotic background is transformed into the harmonic frequency estimation in synchronization error using the method. This method can improve the signal-to-noise, and estimate harmonic frequency from background signal which includes strong random noise. Simulation experiment results show that the estimation result is superior to the RBF neural network method. The method is simple and effective besides less complicated.