雷达侦察数据的建模与仿真验证研究

Modeling and Simulation Validation of Radar Reconnaissance Data

针对雷达侦察数据是进行雷达信号分选和识别算法研究的基础,在介绍雷达侦察设备对脉冲参数截获测量原理的基础上,分析了雷达信号的变化特征,进而提出脉宽-脉幅等参数之间的关系模型,建立雷达侦察数据中各脉冲参数和误差的数学模型,最后设计并实现雷达侦察数据仿真软件,利用非参数假设检验的方法对模型进行了仿真。仿真结果表明,模型可以较逼真的反映外场试验数据的变化特征,能够为综合电子信息系统的目标识别试验提供可靠仿真数据源。

Radar reconnaissance data is the foundation of algorithm research in radar signal deinterleaving and target recognition. Based on introducing the principle of capturing and measuring pulse data by radar reconnaissance equipment, the characteristics of radar signals are analyzed, then the relationship between parameters, such as pulse width and pulse amplitude, is introduced and modeled, and the models of pulse parameters and errors in radar reconnaissance data are presented. Finally, radar reconnaissance data simulation software is designed and realized, and nonparametrid test is applied to model validation. Simulation results show that the model can reflect the features of outfield testing data realistically, and it can provide reliable simulation data for synthesised electronic information system.