雷达目标回波信号的混沌、多重分形分析与识别

The Analyse and Recognition of Radar Targets Scattering Signal With Chaos Multifractal Theory

本文旨在将混沌、多重分形的理论和方法引入雷达信号处理，从混沌、分形动力学角度来揭示和刻划复杂目标散射机理，为进行有效信号处理和可靠目标识别寻找新的理论和技术实现方法。文中统计了五种飞机目标回波信号的Ｌｙａｐｕｎｏｖ指数分布情况，并计算了其多重分形维数，然后在此基础上，进行了目标识别的实验，获得了较高识别率。本文的研究表明，混沌、多重分形理论在目标特性及识别的研究中具有良好的应用前景。

This paper introduces the recently developed chaos and multifractal theory into the fields of radar signal processing for radar target characteristic and recognition. The Lyapunov exponents of five kinds of planes are calculated. With the correlation integral method, the multifractal dimensions of these targets' scattering signal are further obtained. Then we carry on the experiment of radar target recognition and get satiafactory recognition rate. The results of this paper show that the chaos and multifractal theory have great potentials in the fields of tadar signal processing and target recognition.