Advances in Radar Imaging and Target Tracking

Dear Colleagues,

Target imaging and tracking is an area of great importance and research interest in civil and defense radar systems. Recent developments in electronic systems, such as the terahertz and microwave photonic technologies, have enabled the possibilities of achieving high-resolution detection based on radar systems. These techniques have also brought new challenges in designing algorithms for radar imaging and tracking. Topics of active research concerning radar imaging include acquisition of high-resolution radar image, clutter/interference suppression, and exploitation of micro-Doppler effects, to name a few. In the past 45 years, we have also witnessed leapfrog developments in radar tracking algorithms. The related research topics include trajectory initialization/stop, multitarget tracking, and sensor selection/management. Traditional tracking algorithms include batched processing based on maximum-likelihood algorithms, multiple hypotheses tracking, and joint probabilistic data association. In the past 20 years, researchers have paid increasing attention to the algorithms that combine random finite sets with Bayesian theories, which can simultaneously manage target birth/death while also tracking targets, and these approaches can also model missed detection and clutter into Bayes iterations, and are thus more mathematically elegant. In recent years, scalable fusion algorithms based on random finite set theory have also been developed so as to meet the requirements of distributed multitarget tracking based on networked radar.

With this Special Issue, we aim to collect contributions reporting recent developments in radar imaging and tracking applications. Topics in the scope of this Special Issue include but are not limited to the following:

• radar signal processing for imaging and/or target tracking
• radar imaging and/or tracking under multipath environments
• hybrid active/passive networked radar information fusion for target imaging and/or tracking
• compensation of biases for target imaging and/or tracking based on radars
• extended object tracking based on high-resolution radars
• high-level radar applications based on the results of imaging and tracking
• radar source management for imaging and tracking applications
• artificial intelligence approaches for radar imaging and tracking

Prof. Dr. Ping Wei
Dr. Lin Gao
Dr. Huaguo Zhang
Guest Editors

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• radar imaging
• SAR
• micro-Doppler
• target tracking
• random finite set
• information fusion
• extended object tracking