为了提取目标回波信号的特征信息、提高回波信号仿真精确度, 采用地面验证实验时将回波数据记录下来对其数字仿真的方法, 将二次曲面单元作为几何建模的基础单元来建立目标几何模型, 基于目标表面的材料及双向反射分布函数实测数据, 结合遗传优化算法对不同波长的样品从不同角度来进行五参量建模。采用回波包络上升速率的区域联合判别方式, 对不同环境下目标的点回波幅值进行了实验验证。结果表明, 电压在云烟环境与理想环境下的偏差约为65.3％, 包络走势满足对目标识别的判定准则, 且在云烟环境中实现了抗干扰, 能够修正改善目标在云烟环境下回波信号的仿真模型, 提升仿真精确度。

In order to extract the characteristic information of the target echo signal and improve the simulation accuracy of the echo signal, a digital simulation method was adopted to record the echo data in the ground verification test. Quadric surface element was used as the basic element of geometric modeling to establish the target geometric model. Based on the material of the target surface and the measured data of bidirectional reflectnace distrbution function (BRDF), five-parameter modeling was carried out for samples of different wavelength from different angles by combining genetic optimization algorithm. The amplitude of point return wave of target under different environment was verified by the method of region joint discrimination of echo envelope rising rate. The results show that the deviation between the voltage in the cloud environment and the ideal environment is about 65.3%, the enveloped trend satisfies the criterion of target recognition, and the anti-interference is realized in the cloud environment, which can modify and improve the simulation model of target echo signal in the cloud and smoke environment and improve the simulation accuracy.