奇异谱技术在混沌背景下微弱信号检测中的应用

摘要

Weak signal detection based on prediction is one of major fields in chaotic background of weak signal detection research. For the method, the weak signal been separated from the forecast error that is a lack of in-depth study of the status, this paper proposes a new method based on singularity spectrum analysis technique that detect weak signals from forecast error. On the one hand. The method does not need any information from the target signal detection. On the other hand, it has high detecting precision and good universality. Experimental result shows that the method has better performance than traditional comb filter.%基于预测的混沌背景下微弱信号检测成为混沌背景中微弱信号检测研究重点之一;针对现阶段从预测误差中分离微弱信号的方法缺乏深入研究的现状,提出了一种基于奇异谱分析技术从预测误差中检测出微弱信号的新方法;该方法无需目标信号的任何信息,检测精度高,而且具有很好的普适性;实验结果表明该方法性能较传统的梳状滤波器滤波性能提高20dB左右,而且具有很强的实用性和通用性.