Traditional forward-looking imaging methods of real aperture radar yield unsatisfactory
performance in the presence of outliers. In this article, a method based on variational …

实孔径雷达(RAR) 通过天线扫描工作, 以获取大范围探测区域内目标的观测信息. 但是,
由于雷达天线尺寸小, 受天线衍射机理限制, 与距离分辨率相比, 其角分辨率通常较低 …

The sparsity regularization based on the L 1 norm can significantly stabilize the solution of
the ill-posed sparsity inversion problem, eg, azimuth super-resolution of radar forward …

扫描雷达角超分辨技术是基于目标与天线方向图的关系, 采用解卷积方法获取超越实波束的角
分辨能力. 目前的角超分辨方法大都是基于理想的无畸变天线方向图, 未考虑实际过程中方向图 …

Airborne radar forward-looking imaging holds significant promise for applications such as
autonomous navigation, battlefield reconnaissance, and terrain mapping. However …

In recent years, super-resolution imaging techniques have been intensely introduced to
enhance the azimuth resolution of real aperture scanning radar (RASR). However, there is a …

Recently, a sparse super-resolution method based on iterative reweighted norm (IRN) has
been proposed to improve the azimuth resolution of forward-looking radar. However, this …

In forward-looking imaging radar sensors, the targets of our focus are typically sparse in
comparison to the whole imaging scene, which provides the feasibility of applying …

This paper proposes a deep learning-based motion deblurring method for radar images
using point-spread function (PSF) estimations. Motion blur is a common problem in radar …

Abstract Real Aperture Radar (RAR) observes wide-scope target information by scanning its
antenna. However, because of the limited antenna size, the angular resolution of RAR is …