In airborne forward-looking imaging, the azimuth resolution and the imaging efficiency are
important. In this article, we propose a low-dimensional sparse Bayesian learning with …

Regularization methods, including single constraint regularization and joint constraints
regularization, have been applied to radar forward-looking super-resolution imaging …

Scale information is a significant index for target measurement by real aperture radar (RAR).
However, the measured target scale information by RAR is inaccurate because of the limited …

Sparse superresolution algorithms have been applied in scanning radar imaging to improve
its azimuth resolution. However, the inverse matrix in each iteration is usually diagonal …

The search for low-altitude targets becomes a more challenging task for airborne phased
array radar, due to the limited system resources and serious ground clutter. In this article, an …

Recently, orthogonal matching pursuit (OMP) has been widely used in direction of arrival
(DOA) studies, which not only greatly improves the resolution of DOA, but can also be …

This manuscript presents a novel framework for high-resolution and robust microwave
correlation imaging. In order to generate a more diverse random radiation field distribution …

Forward-looking scanning radar (FLR) has been widely discussed because of its super-
resolution capability. However, for the high-speed radar platform, the super-resolution …

在小样本条件下提升方法的泛化性能, 是合成孔径雷达自动目标识别(SAR ATR)
重要的研究方向. 针对该方向中的基础理论问题, 该文建立了一个SAR ATR 因果模型 …

In forward-looking imaging (FLI) of airborne radar, the enhancement of cross-range
resolution is always a major research area and many studies on super-resolution …