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伪码调相连续波(PRC-CW)雷达目标识别中,对于具有相同径向速度的不同目标的分析和识别是一个需解决的问题。针对PRC-CW雷达目标回波的非线性时变特性,该文运用非线性动力学方法分析了此类回波的混沌特性。通过Lyapunov谱、相关维、Kolmogrov熵3类混沌特性参数提取方法的研究,形成了一个完整的分析和处理流程。进而通过对多类实测目标数据混沌特性参数的分析,得到了X波段PRC-CW雷达运动目标回波呈现混沌特性的结论。以实际的计算结果的分析和比较,证明了基于混沌特性的PRC-CW雷达目标识别是可行的。
In the PRC-CW radar target recognition, the analysis and identification of different targets with the same radial velocity are a problem to be solved. In view of the nonlinear time-varying characteristics of PRC-CW radar target echoes, the chaotic characteristics of such echoes are analyzed by nonlinear dynamic method. Through the study of Lyapunov spectrum, correlation dimension, Kolmogrov entropy, three kinds of chaos characteristic parameter extraction methods are studied, a complete analysis and processing flow is formed. Furthermore, the chaotic characteristics of the X-band PRC-CW radar moving target echo are obtained by analyzing the chaotic characteristics of the measured data. With the analysis and comparison of the actual calculation results, it is proved that the target recognition of PRC-CW radar based on chaotic characteristics is feasible.