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本文运用非线性系统的Volterra理论来研究雷达非线性目标的识别问题,提出了一种新的识别非线性目标的多频谐波匹配法。文中在分析了非线性散射的机理之后,提出了一种结构化逼近散射模型,并以模型中前置系统的本征系数为非线性目标的分类特征,还研究了自动识别过程的数据拟合匹配法。最后利用描述非线性结的唯像模型,对本文的方法作了“半实物”仿真试验研究,具体建立了四种半实物非线性目标的本征系数特征库,并针对贴近度匹配法对识别过程进行仿真试验,结果表明,这种新的识别方法具有良好的工作性能和极强的抗杂波干扰的能力。
In this paper, Volterra theory of nonlinear systems is used to study the problem of radar nonlinear target identification. A new multi-frequency harmonic matching method to identify nonlinear targets is proposed. After analyzing the mechanism of nonlinear scattering, a structured approximation scattering model is proposed, and the eigencoefficients of the pre-system in the model are classified as non-linear targets. The data fitting of the automatic identification process is also studied Matching method. In the end, we use the portrait model describing the nonlinear knot to make a “semi-physical” simulation experiment on this method. The eigenvector database of four kinds of semi-physical nonlinear objects is established. The simulation results show that this new method has good performance and strong anti-clutter interference ability.