识别非线性目标的谐波匹配法

A Harmonic Matching Approach to Nonlinear Target Identification

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 the problem of nonlinear target identification is investigated by use of Volterra theories of nonlinear system and a multifrequency harmonic method for nonlinear target identification is proposed. Firstly, the nonlinear scattering model is presented which is made up of a linear dynamic system and a static polynomial nonlinearity. The dynamic system's poles are chosen as target features. Then, a linearized least square algorithm for calculating target pole features from the harmonic magnitude returns is discussed. Also, a data fitting method for performing automatic recognition process is given. Finally, the simulation results are formulated.