A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization
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摘要:
针对特显点选取易受噪声影响这一问题，该文提出一种基于全局图像最大对比度的逆合成孔径雷达(ISAR)方位定标算法，并在实现方位定标的同时完成距离空变相位补偿自聚焦。该方法以图像对比度作为代价函数，利用BFGS算法实现代价函数的最大化高效求解，获得目标信号的距离空变调频率，进而计算目标有效转动角速度，实现方位定标和距离空变相位自聚焦。仿真和实测数据实验对比验证了该算法的有效性和稳健性。
Abstract:Due to the selection of dominant scatterers is easy to be affected by noise, a novel Inverse Synthetic Aperture Radar (ISAR) cross-range scaling algorithm based on image contrast maximization is proposed, which can realize the cross-range scaling while achieving the range spatial-variant phase autofocus. With the image contrast as cost function, the cross-range chirp rate of received signal can be estimated accurately using Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Based on the estimated results, the cross-range scaling of ISAR image and precise phase autofocus can be implemented. Both simulated and real data experiments confirm the effectiveness and robustness of the proposed algorithm.
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表 1 仿真参数
参数 数值 载频fc (GHz) 10 带宽B (GHz) 1 脉冲持续间隔Tp (μs) 200 脉冲重复频率PRF (Hz) 512 dechirp采样率fs (MHz) 2.56 距离维采样点数 512 方位维采样点数 512 距离维像素值(m) 0.150 方位维像素值(m) 0.3006 
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