most cited3D Super-Resolution Imaging Method for Distributed Millimeter-wave Automotive Radar System

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

eess.IV2022

Shadow-Oriented Tracking Method for Multi-Target Tracking in Video-SAR

Xiaochuan Ni, Xiaoling Zhang, Xu Zhan +4

This work focuses on multi-target tracking in Video synthetic aperture radar. Specifically, we refer to tracking based on targets' shadows. Current methods have limited accuracy as…

eess.SP2022

A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging

Yu Ren, Xiaoling Zhang, Xu Zhan +3

Deep learning (DL)-based tomographic SAR imaging algorithms are gradually being studied. Typically, they use an unfolding network to mimic the iterative calculation of the classica…

eess.IV2022

Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study

Xu Zhan, Xiaoling Zhang, Wensi Zhang +3

Benefiting from a relatively larger aperture's angle, and in combination with a wide transmitting bandwidth, near-field synthetic aperture radar (SAR) provides a high-resolution im…

eess.SP2022

Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework

Xu Zhan, Xiaoling Zhang, Mou Wang +3

This work focuses on 3D Radar imaging inverse problems. Current methods obtain undifferentiated results that suffer task-depended information retrieval loss and thus don't meet the…

eess.SP20221 cited

3D Super-Resolution Imaging Method for Distributed Millimeter-wave Automotive Radar System

Yanqin Xu, Xiaoling Zhang, Shunjun Wei +3

Millimeter-wave (mmW) radar is widely applied to advanced autopilot assistance systems. However, its small antenna aperture causes a low imaging resolution. In this paper, a new di…