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首先,介绍了美国空军研究实验室的高保真知识辅助的传感器信号处理和专家推理数据;然后,在分析空时自适应处理技术实际应用中面临的问题和现有杂波仿真方法不足的基础上,提出了一种基于数字地形分类数据的高保真机载相控阵雷达杂波数据仿真方法,通过数字地形分类数据导入相应的后向散射系数,反演雷达实际辐射时不同地物回波;同时,考虑实际的通道误差、天线方向图等因素,仿真得到信号级杂波数据。该数据与传统仿真方法相比具有更高的置信度,仿真结果验证了该方法的有效性。
First of all, the high-fidelity knowledge-aided sensor signal processing and expert reasoning data of the USAF research laboratory are introduced. Then, based on the analysis of the problems in the practical application of space-time adaptive processing technology and the shortage of the existing clutter simulation methods , A simulation method of clutter data of high fidelity airborne phased array radar based on digital terrain classification data is proposed. The corresponding backscattering coefficient is introduced through the digital terrain classification data to retrieve the echo of different objects when the radar is actually irradiated. At the same time, taking into account the actual channel error, antenna pattern and other factors, the simulation signal level clutter data. Compared with the traditional simulation method, the data has higher confidence and the simulation results verify the effectiveness of the method.