ABSTRACT

Inverse synthetic aperture radar (ISAR) imaging of the near-field target is potentially significant with the development of radar technology. The near-field target cannot be mapped to the ISAR image correctly because it does not satisfy the far-field distance approximation. To efficiently solve the distortion problem, it is more desirable to estimate the rotation velocity for near-field ISAR imaging. In this article, we propose a method for estimating the rotation velocity of the near-field target based on integrated generalized cubic phase function. Different from the far-field target, the received signal of the near-field target in a range bin is considered as the cubic phase signal, and the rotation velocity can be determined by the coefficients of the cubic phase signal. Afterwards, we utilize the cubic convolution image interpolation to rescale the image on the homogeneous Cartesian domain. Experimental results of simulated data demonstrate the effectiveness of the proposed method on rotation velocity estimation and scaling of the near-field target.

摘要

随着雷达技术的发展，近场目标的逆合成孔径雷达 (ISAR) 成像具有潜在的重要意义。近场目标不能正确映射到 ISAR 图像，因为它不满足远场距离近似。为了有效解决畸变问题，近场ISAR成像更需要估计旋转速度。在本文中，我们提出了一种基于综合广义三次相位函数的近场目标旋转速度估计方法。与远场目标不同，近场目标在一个距离区间内的接收信号被认为是三次相位信号，其旋转速度可以由三次相位信号的系数来确定。然后，我们利用三次卷积图像插值在齐次笛卡尔域上重新缩放图像。模拟数据的实验结果证明了所提出的方法对近场目标旋转速度估计和缩放的有效性。