分析了典型目标的合成孔径雷达(SAR)回波与图像仿真对验证SAR成像算法的有效性、开展SAR图像解译和SAR图像自动目标识别等方面的研究具有重要作用，在现有的SAR回波信号和图像仿真方法基础上，提出了一种新的目标SAR回波信号和图像仿真方法，该方法把目标特性分析的曲面像素法和基于二维傅立叶变换(2DFFT)的SAR回波信号仿真数学模型相结合，采用曲面像素法来计算目标的散射率，用基于2DFFT的回波生成方法来计算SAR回波，实现了典型目标的合成孔径雷达回波生成和图像仿真，并给出了相应的仿真结果，证明了该方法

Synthetic aperture radar (SAR) raw signal generation and SAR image simulation of typical targets are very significant for the validation of SAR imaging algorithms, the interpretation of SAR images, and automatic target recognition of SAR images. Based on analysis of the existing SAR raw signal generation and SAR image simulation methods, a new method for SAR raw signal generation and SAR image simulation is proposed. This method combined the curved surface pixel method (CSPM) and the twodimensional FFT (2DFFT) based SAR raw signal generation model. CSPM is used to calculate the target reflectivity, while the 2DFFT method is employed to obtain the raw signal. The simulations are carried out, and the effectiveness of this method is validated by the results of simulating some typical targets.

总装武器装备重点预研基金资助项目(9140A03010106HK0201）