Advances in Radar Imaging and Target Tracking

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 1685

Special Issue Editors


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Guest Editor
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: statistical signal processing; target tracking; information fusion; array signal processing
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: multitarget tracking; information fusion; SLAM; statistical signal processing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: statistical signal processing; target tracking; information fusion; array signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

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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Keywords

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

Published Papers (1 paper)

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23 pages, 6191 KiB  
Study Protocol
Research on Extended Target-Tracking Algorithms of Sea Surface Navigation Radar
by Feng Tian, Haoyu Zhang and Weibo Fu
Electronics 2023, 12(3), 616; https://doi.org/10.3390/electronics12030616 - 26 Jan 2023
Cited by 1 | Viewed by 1037
Abstract
To solve the problem of false tracks generated by breakdowns and clutter in point-target tracking in polar coordinates, a fusion tracking algorithm based on a converted measurement Kalman filter and random matrix expansion is proposed. The converted measurement Kalman filter (CMKF) transforms the [...] Read more.
To solve the problem of false tracks generated by breakdowns and clutter in point-target tracking in polar coordinates, a fusion tracking algorithm based on a converted measurement Kalman filter and random matrix expansion is proposed. The converted measurement Kalman filter (CMKF) transforms the polar coordinate data of the target at the current time into Cartesian coordinates without bias. Based on linear measurements and states, the position of the extended target and the group target was predicted and updated by using a random matrix, and its track was drawn by combining the nearest neighbors to realize the tracking of the size, shape and azimuth of the extended target. Compared with point-target tracking, the accuracy of extended multi-target tracking was increased by 45.8% based on data measured using NAVICO navigation radar aboard ships at sea. The experimental results showed that the improved method in this paper could effectively reduce the interference of clutter on target tracking and provide more information about the target motion features. Full article
(This article belongs to the Special Issue Advances in Radar Imaging and Target Tracking)
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