A deep learning algorithm for joint direct tracking and classification of manoeuvring sources
Abstract The remarkable success of deep learning technologies has provided new ideas for solving complex tracking problems. It is difficult for traditional algorithms to directly estimate the trajectory vector and target class from the received signal due to the limitation of modelling ability, which causes inevitable information loss.
Wanting Yu +4 more
wiley +1 more source
Robust TDOA/FDOA estimation from emitter signals for hybrid localization using UAVs
This paper considers the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) estimation problem for joint localization using unmanned aerial vehicles (UAVs), involving range migration (RM) and Doppler ambiguity within observation
Yu-bing Wang +4 more
doaj +1 more source
Geolocation a known‐altitude moving source by TDOA and FDOA measurements
Abstract Source altitude information, if known or can be measured by an altimeter, can greatly improve localisation performance. In this letter, a novel algebraic solution for known‐altitude moving source geolocation using time difference of arrival and frequency difference of arrival measurements is developed.
Yuhao Pei, Guizhou Wu, Fucheng Guo
wiley +1 more source
3D moving target tracking with measurement fusion of TDoA/FDoA/AoA
In this paper, we investigate the tracking of the 3D moving target when multiple measurements are available. We propose a particle filter-based 3D target tracking algorithm with measurement of time difference of arrival (TDoA), frequency difference of ...
Hyeondeog Seo +5 more
doaj +1 more source
Gauss Hermite
The precision geolocation and target tracking problem has been addressed in this paper using High-Degree Non-linear Filtering based on hybrid Time Difference of Arrival (TDOA), Frequency Difference of Arrival (FDOA) measurements using Low Earth Orbit ...
Abulasad Elgamoudi +3 more
doaj +1 more source
Abstract In this study, we propose an underwater localization method based on an improved invasive weed optimization algorithm to accurately locate moving sources in underwater sensor networks. First, the Lévy flight model is introduced into the invasive weed optimization algorithm to enhance its global search ability and avoid falling into local ...
Yunhang Lin +2 more
wiley +1 more source
An effective localization algorithm for moving sources
By utilizing the time difference of arrival (TDOA), the frequency difference of arrival (FDOA), and the differential Doppler rate (DDR) measurements from sensors, this paper proposes an effective moving source localization algorithm with closed solutions.
Hao Wang, Liping Li
doaj +1 more source
Neighborhood Selection Synchronization Mechanism-Based Moving Source Localization Using UAV Swarm
To obtain the accurate time difference of arrival (TDOA) and frequency difference of arrival (FDOA) for passive localization in an unmanned aerial vehicle (UAV) swarm, UAV swarm network synchronization is necessary.
Yongkun Zhou +4 more
doaj +1 more source
Autonomous orbit determination and navigation for formations of CubeSats beyond LEO [PDF]
This paper investigates the use of the Time Of Arrival (TOA) and Doppler shift to allow a small formation of CubeSats to navigate beyond low Earth orbit (LEO).
Grey, Stuart +3 more
core +2 more sources
Localization of wireless emitters based on the time difference of arrival (TDOA) and wavelet denoising [PDF]
The views expressed in this report are those of the author and do not reflect the official policy or position of the Department of Defense or the United States Government.The localization of mobile wireless communication units using time difference of ...
Aktas, Unal +2 more
core +1 more source

