Probability Model-driven Airborne Bayesian Forward-looking Super-resolution Imaging for Multitarget Scenario

Probability Model-driven Airborne Bayesian Forward-looking Super-resolution Imaging for Multitarget Scenario

Forward-looking imaging is crucial in many civil and military fields, such as precision guidance, autonomous landing, and autonomous driving. The forward-looking imaging performance of airborne radar may deteriorate significantly due to the constraint of the Doppler history. The deconvolution method...

Full description

Bibliographic Details
Main Authors: Hongmeng CHEN, Jizhou YU, Wenjie ZHANG, Yachao LI, Jun LI, Liang CAI, Yaobing LU
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2023-12-01
Series:Leida xuebao
Subjects:
forward-looking imaging
super-resolution imaging
sparsity
probability model
doppler deconvolution
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR23080

Internet

https://radars.ac.cn/cn/article/doi/10.12000/JR23080

Similar Items