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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。
The purpose of this paper is to introduce the theory and method of chaos and multifractal into radar signal processing, to reveal and characterize complex target scattering mechanism from chaos and fractal dynamics, and to find new theories and techniques for effective signal processing and reliable target recognition method. In this paper, the Lyapunov exponent distributions of five kinds of aircraft target echo signals are calculated, and their multifractal dimensions are calculated. Based on this, experiments on target recognition are carried out, and a high recognition rate is obtained. The research in this paper shows that chaos and multifractal theory have a good application prospect in the research of target characteristics and recognition.