Content area
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.
Details
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
; Wang, Qi 1 ; Wang, Meng 2 ; Wang, Youcheng 3 ; Zhang, Min 1
1 School of Physics, Xidian University, Xi’an 710071, China; [email protected] (J.L.); [email protected] (Q.W.)
2 Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China; [email protected] (M.W.); [email protected] (Y.W.)
3 Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China; [email protected] (M.W.); [email protected] (Y.W.), Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China