Abstract
Abstract. Range envelope alignment and phase compensation are spilt into two isolated parts in the classical methods of translational motion compensation in Inverse Synthetic Aperture Radar (ISAR) imaging. In classic method of the rotating object imaging, the two reference points of the envelope alignment and the Phase Difference (PD) estimation are probably not the same point, making it difficult to uncouple the coupling term by conducting the correction of Migration Through Resolution Cell (MTRC). In this paper, an improved approach of joint processing which chooses certain scattering point as the sole reference point is proposed to perform with utilizing the Prominent Point Processing (PPP) method. With this end in view, we firstly get the initial image using classical methods from which a certain scattering point can be chose. The envelope alignment and phase compensation using the selected scattering point as the same reference point are subsequently conducted. The keystone transform is thus smoothly applied to further improve imaging quality. Both simulation experiments and real data processing are provided to demonstrate the performance of the proposed method compared with classical method.
Highlights
The Inverse Synthetic Aperture Radar (ISAR) imaging has been given sustained attention since it has the ability of all-time and all around weather to obtain high-resolution images of moving targets such as airplanes
In the classical ISAR imaging model, the movement of moving target relative to the line of sight (LOS) of the radar can be decomposed into the translational motion and the rotational motion
There are lots of methods proposed for the translational motion compensation which includes range alignment and phase compensation
Summary
The Inverse Synthetic Aperture Radar (ISAR) imaging has been given sustained attention since it has the ability of all-time and all around weather to obtain high-resolution images of moving targets such as airplanes. The Prominent Point Processing (PPP) method is conducted to find range cell containing an isolated scatter which is seen as the rotation centre. Prominent point with small clutters, rather than isolated scatter, is more probably to find in practical This has been showed an efficient way to improve the compensation effects (Wang G L, 2013b). Though methods of the translational motion compensation are relatively mature, the two steps of the compensation in these methods are spilt into two isolated parts This leaves difficulty to conduct the keystone transform to eliminate coupling term perfectly.
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