Special Session 18 会议特别专题 18
Advanced Signal Processing Techniques in Millimeter-Wave Radar and High-Frequency Sonar
Description: This special session focuses on
Advanced Signal Processing Techniques in
Millimeter-Wave Radar and High-Frequency Sonar, two
representative high-resolution sensing technologies
that are widely applied in autonomous driving,
underwater exploration, industrial inspection, drone
perception, marine monitoring, and national defense.
Millimeter-wave radar provides high angular
resolution, strong environmental adaptability, and
seamless integration with future 6G integrated
sensing and communication systems. High-frequency
sonar enables fine underwater imaging, seabed
mapping, and accurate target detection in complex
oceanic environments. Both systems suffer from
strong clutter, multi-path interference, system
imperfections, and real-time processing constraints,
which pose severe challenges to their practical
performance.
This session aims to gather global researchers and
engineers to present recent advances in novel signal
processing algorithms, array processing,
high-resolution imaging, target detection, tracking
and classification, clutter suppression, machine
learning-based intelligent perception, real-time
implementation, and multi-modal fusion for radar and
sonar systems. It encourages original contributions
on theoretical frameworks, algorithm design,
prototype implementation, and field experiments. By
fostering interdisciplinary communication across
radar engineering, underwater acoustics, array
signal processing, and artificial intelligence, this
session will promote technological innovation and
accelerate the deployment of next-generation
high-performance sensing systems.
Session organizers
Assoc. Prof. Lingzhi Zhu, Nanjing University of
Aeronautics and Astronautics, China
Prof. Weijie Xia, Nanjing University of Aeronautics
and Astronautics, China
Prof. Chenguang Shi, Nanjing University of
Aeronautics and Astronautics, China
Asst. Prof. Qi Zhang, City University of Macau,
China
Assoc. Prof. Kuiyu Chen, Nanjing University of Posts
and Telecommunications, China
The topics of interest include, but are not limited to:
▪ Advanced array signal
processing for mmWave radar and HF sonar
▪ High‑resolution radar and sonar imaging algorithms
▪ Clutter suppression, interference cancellation,
and noise reduction techniques
▪ Wideband, ultra‑wideband (UWB), and multiband
signal processing for high‑resolution sensing
▪ Multi‑modal sensing fusion: radar‑vision,
sonar‑acoustic, and radar‑sonar fusion
▪ Applications of mmWave radar
▪ Applications of high‑frequency sonar
▪ Other related cutting-edge technologies
Submission method
Submit your Full Paper (no less than 5 pages with two colums) or
your paper abstract-without publication (200-400
words) via
Online Submission System, then choose Special
Session 18 (Advanced Signal Processing Techniques in Millimeter-Wave Radar and High-Frequency Sonar)
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Introduction of
Session organizers
Assoc. Prof. Lingzhi Zhu,
Nanjing University of Aeronautics and Astronautics, China
Zhu Lingzhi is an Associate Professor at College of
Electronic and Information Engineering, Nanjing
University of Aeronautics and Astronautics, China.
His research interests include the detection of
close-range high-speed targets, radar target
micro-Doppler effects, human activity and vital sign
monitoring, and electronic countermeasures. Over the
past five years, He has published nearly 40 academic
papers (including 33 SCI-indexed articles) in
authoritative journals within the field—such as IEEE
TGRS, TAES, TIM, TRS. Additionally, the researcher
has filed 13 national invention patent applications
and published one academic monograph.
Prof.
Weijie Xia,
Nanjing University of Aeronautics and Astronautics, China
Xia Weijie is a Professor at College of Electronic
and Information Engineering, Nanjing University of
Aeronautics and Astronautics, China. His research
focuses on imaging sonar, multi-beam sonar, and
sector-scanning sonar; target characteristics in SAR
radar; millimeter-wave radar; and GPU-based airborne
Head-Up Displays (HUD). He serves as the Deputy
Director of the Committee on Scientific and
Technological Development and Industrialization
under the Chinese Society of Oceanography.
Additionally, he is a committee member of the
Special Committee on Marine Engineering Equipment
and Deep-Sea Technology within the Jiangsu Society
of Oceanography, as well as a member of the Special
Committee on Marine Science and Technology
Innovation under the China Association of Marine
Engineering Consulting. Over the past five years, he
has published 15 papers in top-tier journals within
his field and has been granted 15 invention patents.
Prof.
Chenguang Shi,
Nanjing University of Aeronautics and Astronautics,
China
Shi Chenguang is a Professor at College of
Electronic and Information Engineering, Nanjing
University of Aeronautics and Astronautics, China.
He is a Senior Member of the IEEE and the Chinese
Institute of Electronics (CIE). His research
interests including networked radar collaborative
detection and resource management, unmanned swarm
electromagnetic countermeasures, aircraft RF stealth
technology, space-based radar target detection and
tracking, and integrated radar-communication system
design. He has published over 60 academic papers in
authoritative international SCI-indexed journals
within the field of signal processing, and has
authored four academic monographs on RF stealth
technology. He has filed applications for over 50
invention patents, of which more than 40 have been
granted national authorization, and has secured nine
software copyrights. His accolades include the
Second Prize for National Defense Science and
Technology Progress, a Nomination Award for
Outstanding Doctoral Dissertations from the Chinese
Society of Electronics Education, the Young Scholar
Innovation Award from NUAA, the Outstanding
Author/Translator Award for Educational Publishing
from the Electronics Industry Press, and the Best
Paper Award at ICAUS 2022.
Asst. Prof. Qi Zhang,
City University of Macau, China
Zhang Qi is an Assistant Professor at Faculty of
Data Science, City University of Macau, China. He
received his Ph.D. degree in computer science from
the University of Macau, China, in 2023. His
research interests include machine learning, smart
healthcare, pattern recognition, radar micro-Doppler
effect and image processing.
Assoc. Prof. Kuiyu Chen,
Nanjing University of Posts and Telecommunications, China
Chen Kuiyu is an
Associate Professor at the College of Electronic and
Optical Engineering, Nanjing University of Posts and
Telecommunications, China. His research interests
include radar signal detection and estimation, radar
target recognition, and radar interference
mitigation. Over the past five years, He has
published nearly 31 academic papers (including 20
SCI-indexed articles) in authoritative journals
within the field—such as IEEE TGRS, TAES, TVT, TRS.