动态群目标参数化散射建模与分析方法

      Parametric scattering modeling and analysis method for dynamic group targets

      • 摘要: 为满足动态群目标电磁散射特性分析需求,提出一种动态群目标参数化散射建模与分析方法。首先,针对静态目标正向建模依赖人工预处理部件分解的问题,所提出方法基于高频电磁散射机理分析散射源产生规律,实现散射源自动化划分,并从中计算三维属性散射中心(attribute scattering center, ASC)模型参数;其次,所提出方法分析动态群目标中的遮挡效应、耦合效应以及姿态变化对参数化散射模型的影响规律,从而实现动态群目标参数化散射建模;最后,通过与电磁仿真结果及微波暗室实测结果对比验证所提出方法。结果表明,所提出方法重构的雷达散射截面积(radar cross section, RCS)、高分辨距离像(high resolution range profile, HRRP)、二维像,与仿真和实测结果相似度均达95%以上,验证了该参数化散射建模与分析方法的有效性与可靠性,为动态群目标探测辨识提供技术支撑。

         

        Abstract: To address the demand for analyzing the electromagnetic scattering characteristics of dynamic group targets, this paper proposes a parametric scattering modeling and analysis method for such targets. First, to solve the problem of over-reliance on manual preprocessing for component decomposition in the forward modeling method for static target, the proposed method analyzes the generation laws of scattering sources based on the high-frequency electromagnetic scattering mechanism. This enables the automatic division of scattering sources, from which the parameters of the three-dimensional attribute scattering center (ASC) model are derived. Second, the proposed method analyzes the influence laws of occlusion effect, coupling effect, and attitude transformation in dynamic group targets on the parametric scattering model. This enables the parametric scattering modeling of dynamic group targets. Finally, the proposed method is verified by comparison with the results of electromagnetic simulation and microwave anechoic chamber measurement. The results show that the radar cross section (RCS), high-resolution range profile (HRRP), and two-dimensional image reconstructed by the proposed method have a similarity of over 95% with the simulated and measured results. This verifies the effectiveness and reliability of the proposed parametric scattering modeling and analysis method, and provides technical support for the detection and identification of dynamic group targets.

         

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