Jian-Yu Yang

Space-Variant Autofocus for Forward-Looking Multichannel SAR via Nonconvex Optimization

Motion-error-induced phase errors in forward-looking multichannel synthetic aperture radar (FLMC-SAR) exhibit 2-D space-variant characteristics, which present a critical challenge for high-resolution imaging. Traditional space-variant autofocus (SVAF) methods, which rely on separable echoes, are ineffective for FLMC-SA...

Target Superresolution Reconstruction Approach for Bistatic Airborne Radar Based on Joint Convolution Echo Model

Bistatic airborne radar is widely studied because of its separated geometric configuration, offering flexible imaging ability for its receiver. However, when the bistatic platforms work in a synthetic aperture radar (SAR) mode, the bistatic system should obey strict imaging rules, including the geometric configuration...

A Deep Learning Framework for Angular Resolution Enhancement of Multichannel Forward-Looking SAR Under Space-Variant and Perturbed Kernels

With multiple channels resolving left/right ambiguity, multichannel synthetic aperture radar (SAR) has the ability to perform forward-looking imaging. However, its angular resolution, especially in regions close to the flight path, is limited by the aperture size. In this article, an enhanced imaging scheme under space...

Lunar-based bistatic SAR: Earth observation capability and spatiotemporal variations

Unified Generative SAR Imaging for Multiple Ships With Distinct Dynamic States

Synthetic aperture radar (SAR) possesses all-weather, all-time observation capabilities, offering broad potential in disaster monitoring, topographic surveying, and marine management. For maritime moving target imaging, the coupling of target maneuverability with the wave disturbance generates complex composite motion,...