短孔径ISAR方位定标

短时间观测下的逆合成孔径雷达成像在应用中具有较多的优势。该文针对短孔径观测提出一种利用有限次脉冲实现ISAR方位定标的方法。基于ISAR图像的稀疏特征，利用压缩感知理论提高ISAR成像的分辨率，有效提高了散射中心定位精度。此外，基于2维快速傅里叶变换和极坐标映射的方法利用相关法进行转动角速度估计，同时利用压缩感知精确估计相关函数的峰值位置，提高转动角速度的估计效率和精度，最终实现目标的方位定标。仿真和实测数据实验结果验证了该方法的有效性。

Cross-range Scaling for ISAR with Short Aperture Data

Inverse Synthetic Aperture Radar (ISAR) imaging in short coherent processing interval has a great deal of major advantages in application. In this paper, a novel cross-range scaling algorithm for ISAR imaging with limited pulses and short aperture is proposed. Based on the sparsity characteristic of ISAR image, superresolution ISAR imaging can be achieved via Compressive Sensing (CS) theory. Then the Rotation Angle Velocity (RAV) estimation is realized by using 2-D Fast Fourier Transform (2-D FFT) and polar mapping. Meanwhile, the precision of RAV estimation can efficiently be improved by using CS. Finally, the ISAR image is properly rescaled in the range-cross-range domain. Both simulated and real-measured data experimental results confirm the effectiveness of the proposed method.