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讨论了基于巴克相位编码调制发射信号和三维逆合成孔径雷达(ISAR)结构的ISAR概念。ISAR信号形成可理解为3D图像功能向2D信号功能的非对称空间转换,而图像重构被认为是2D信号功能向2D图像功能(重构的图像)的空间逆转换。经证实,这种图像重构算法由距离压缩互相关、方位压缩傅里叶变换(被认为是第一级运动补偿)和更高级相位校正组成(被认为是更高级运动补偿,通称自聚焦程序)。引入熵作为图像成本功能,以评估相位校正功能的多项式系数。通过数值实验以验证ISAR的几何结构,信号形成模式和图像重构算法。
The concept of ISAR based on Barker phase modulation for transmitting signals and 3D inverse synthetic aperture radar (ISAR) structures is discussed. ISAR signal formation can be understood as an asymmetric spatial conversion of 3D image functions into 2D signal functions, whereas image reconstruction is considered to be a spatial inverse conversion of 2D signal functions into 2D image functions (reconstructed images). It has been demonstrated that this image reconstruction algorithm consists of distance-compression cross-correlation, azimuthally-compressed Fourier transform (considered as first-order motion compensation) and higher-order phase correction (considered as higher-order motion compensation, ). Entropy is introduced as an image cost function to evaluate the polynomial coefficients of the phase correction function. Through numerical experiments to verify the ISAR geometry, signal formation patterns and image reconstruction algorithms.