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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements

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Publicado en:Remote Sensing vol. 17, no. 10 (2025), p. 1705
Autor principal: Jiao Xiaoshuang
Otros Autores: Chen, Jinming, Jiang Lifeng, Li, Weiping, Yang, Xiaochao, Wang, Weiwei, Zhang, Jun
Publicado:
MDPI AG
Materias:
Resource allocation
Accuracy
Aerial targets
Receiving
Signal processing
Nodes
Linear systems
Approximation
Unmanned aerial vehicles
Localization
Battlefields
Reconnaissance
Cost allocation
Localization method
Parameter estimation
Angle of arrival
Radiation sources
Algorithms
Methods
Information processing
Rescue operations
Real time
Degrees of freedom
Surveillance systems
Radar systems
Acceso en línea:Citation/Abstract
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Resumen:For real-time detection scenarios such as battlefield reconnaissance and surveillance, where high positioning accuracy is required and receiving station resources are limited, we propose an innovative distributed aerial target localization method with low degrees of freedom. This method is based on a hybrid measurement approach. First, a measurement model is established using the spatial geometric relationship between the distributed node network configuration and the target, with angle of arrival (AOA) and time difference of arrival (TDOA) measurements employed to estimate partial target parameters. Then, frequency difference of arrival (FDOA) measurements are utilized to enhance the accuracy of parameter estimation. Finally, using inter-node measurements, a pseudo-linear system of equations is constructed to complete the three-node aerial target localization. The method uses satellites as radiation sources to transmit signals, with unmanned aerial vehicles (UAVs) acting as receiving station nodes to capture the signals. It effectively utilizes hybrid measurement information, enabling aerial target localization with only three receiving stations. Simulation results validate the significant advantages of the proposed algorithm in enhancing localization accuracy, reducing system costs, and optimizing resource allocation. This technology not only provides an efficient and practical localization solution for battlefield reconnaissance and surveillance systems but also offers robust technical support and broad application prospects for the future development of unmanned systems, intelligent surveillance, and emergency rescue.
ISSN:2072-4292
DOI:10.3390/rs17101705
Fuente:Advanced Technologies & Aerospace Database