Time-frequency transform vs. Fourier transform for radar imaging

V. Chen, S. Qian
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引用次数: 11

Abstract

Conventional radar imaging systems use the Fourier transform for reconstruction of radar images. To use the Fourier transform adequately, some restrictions must be applied. Due to target's motion and manoeuvring, the reconstructed image by using Fourier transform becomes smeared. Therefore, some sophisticated motion compensation procedures must be applied to produce a clear image. However, the restrictions of Fourier transform can be lifted if a high resolution time-frequency transform can be used to retrieve the Doppler information. By replacing the conventional Fourier transform with the joint time-frequency transform, a 2-D range-Doppler Fourier frame becomes a 3-D time-range-Doppler cube. With sampling in time, a sequence of clear 2-D range-Doppler images can be simply reconstructed without using sophisticated motion compensation.
雷达成像的时频变换与傅立叶变换
传统的雷达成像系统使用傅里叶变换来重建雷达图像。为了充分利用傅里叶变换,必须应用一些限制条件。由于目标的运动和机动,利用傅里叶变换重建的图像会变得模糊。因此,必须应用一些复杂的运动补偿程序来产生清晰的图像。然而,如果可以使用高分辨率时频变换来检索多普勒信息,则可以解除傅里叶变换的限制。用联合时频变换代替传统的傅里叶变换,二维距离-多普勒傅里叶帧变成三维时间-多普勒立方体。通过及时采样,可以简单地重建一系列清晰的二维距离多普勒图像,而无需使用复杂的运动补偿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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