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GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis

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Publié dans:Remote Sensing vol. 17, no. 15 (2025), p. 2607-2628
Auteur principal: Li, Jinxing
Autres auteurs: Wang, Qi, Wang, Meng, Wang, Youcheng, Zhang, Min
Publié:
MDPI AG
Sujets:
Accuracy
Signal processing
Maneuvering targets
Remote sensing
State estimation
Approximation
Localization
Tracking
Electromagnetic scattering
Velocity errors
Global positioning systems > GPS
Simulation
Satellite configurations
Fourier transforms
Target detection
Satellites
Methods
Algorithms
Satellite tracking
Radar
Global navigation satellite system
Parameter estimation
Position errors
Accès en ligne:Citation/Abstract
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Résumé: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.
ISSN:2072-4292
DOI:10.3390/rs17152607
Source:Advanced Technologies & Aerospace Database