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Open AccessArticle
GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis
by
Jinxing Li
Jinxing Li
A. Prof. Jinxing Li is a Lecturer at the School of Physics, Xidian University, Xi'an, China. He a in [...]
A. Prof. Jinxing Li is a Lecturer at the School of Physics, Xidian University, Xi'an, China. He received a B.S. degree in EM wave propagation and antennae and a Ph.D. degree in radio physics from Xidian University, Xi'an, China, in 2014 and 2019, respectively. His current research interests include computational electromagnetics, EM scattering modeling of complex targets, and sea surfaces and their application.
,
Qi Wang
Qi Wang
Meng Wang
Meng Wang
Youcheng Wang
Youcheng Wang
Min Zhang
Min Zhang
Prof. Min Zhang currently works at the School of Physics, Xidian University. He received a B.Sc. in [...]
Prof. Min Zhang currently works at the School of Physics, Xidian University. He received a B.Sc. degree in physics from Shaanxi Normal University, Xi’an, China, in 1990, an M.Sc. degree in radio physics from Xidian University, Xi’an, in 1998, and a Ph.D. degree in astrometry and celestial mechanics from Shaanxi Astronomical Observatory, Chinese Academy of Sciences, Xi’an, in 2001. From 2001 to 2003, Prof. Min Zhang was a Postdoctoral Research Fellow in electromagnetic fields and microwave techniques at Xidian University, where he is currently a full professor. His research interests include electromagnetic model design, integral equation techniques, and fast hybrid algorithms for electromagnetic scattering, radiation, and wave propagation.
1
School of Physics, Xidian University, Xi’an 710071, China
2
Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China
3
Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(15), 2607; https://doi.org/10.3390/rs17152607 (registering DOI)
Submission received: 17 June 2025
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Revised: 20 July 2025
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Accepted: 25 July 2025
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Published: 27 July 2025
Abstract
This paper proposes a novel Global Navigation Satellite System (GNSS)-based remote sensing method for simulating Radar Doppler Map (RDM) features through joint electromagnetic scattering modeling and signal processing, enabling characteristic parameter extraction for both point and ship targets in multi-satellite scenarios. Simulations demonstrate that the B3I signal achieves a significantly enhanced range resolution (tens of meters) compared to the B1I signal (hundreds of meters), attributable to its wider bandwidth. Furthermore, we introduce an Unscented Particle Filter (UPF) algorithm for dynamic target tracking and state estimation. Experimental results show that four-satellite configurations outperform three-satellite setups, achieving <10 m position error for uniform motion and <18 m for maneuvering targets, with velocity errors within ±2 m/s using four satellites. The joint detection framework for multi-satellite, multi-target scenarios demonstrates an improved detection accuracy and robust localization performance.
Share and Cite
MDPI and ACS Style
Li, J.; Wang, Q.; Wang, M.; Wang, Y.; Zhang, M.
GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis. Remote Sens. 2025, 17, 2607.
https://doi.org/10.3390/rs17152607
AMA Style
Li J, Wang Q, Wang M, Wang Y, Zhang M.
GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis. Remote Sensing. 2025; 17(15):2607.
https://doi.org/10.3390/rs17152607
Chicago/Turabian Style
Li, Jinxing, Qi Wang, Meng Wang, Youcheng Wang, and Min Zhang.
2025. "GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis" Remote Sensing 17, no. 15: 2607.
https://doi.org/10.3390/rs17152607
APA Style
Li, J., Wang, Q., Wang, M., Wang, Y., & Zhang, M.
(2025). GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis. Remote Sensing, 17(15), 2607.
https://doi.org/10.3390/rs17152607
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