Results 31 to 40 of about 709 (147)
A deep learning algorithm for joint direct tracking and classification of manoeuvring sources
IET Radar, Sonar &Navigation, Volume 16, Issue 7, Page 1198-1211, July 2022., 2022 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
Gauss Hermite
IEEE Access, 2020 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
CRLB for joint estimation of TDOA, phase, FDOA, and Doppler rate
The Journal of Engineering, 2019 To avoid decline of FDOA estimation precision caused by relative Doppler companding, Doppler rate has to be considered and estimated jointly with TDOA, phase, and FDOA. However, CRLB of the joint estimation is still unclear.
Dexiu Hu +4 more
doaj +1 more source
IEEE Access, 2020 Multiple-target localization is extensively applied in wireless connected networks. However, sensor location uncertainty is known to degrade significantly the target localization accuracy.
Ding Wang +4 more
doaj +1 more source
Neighborhood Selection Synchronization Mechanism-Based Moving Source Localization Using UAV Swarm
Remote Sensing, 2023 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
Mobile emitter geolocation and tracking using TDOA and FDOA measurements
, 2022 S.1863-1874This paper considers recursive tracking of one mobile emitter using a sequence of time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurement pairs obtained by one pair of sensors. We consider only a single emitter
Kaune, R., Koch, W., Musicki, D.
core +1 more source
A Linear-correction Least-squares Approach for Geolocation Using FDOA Measurements Only [PDF]
, 2012 A linear-correction least-squares(LCLS) estimation procedure is proposed for geolocation using frequency difference of arrival (FDOA) measurements only.
GUO, Fucheng, LI, Jinzhou, JIANG, Wenli
core +1 more source
A Mathematical Algorithm of Locomotive Source Localization Based on Hyperbolic Technique
International Journal of Distributed Sensor Networks, 2015 Recent trend shows that sensors situated on an axis in two-dimensional scenario measuring the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) of the emitting signal from a moving source can estimate the emitting signal's ...
Homayun Kabir +3 more
doaj +1 more source
Accuracy of Positioning of Ground Sources Using Geostationary Repeaters
Известия высших учебных заведений России: Радиоэлектроника, 2020 Introduction. Currently, there is a significant increase in the number of relay satellites in geostationary orbit. However, frequent incidents of illegal use of the satellites frequency resource, as well as unintentional and deliberate interference with ...
R. D. Gall
doaj +1 more source
An effective localization algorithm for moving sources
EURASIP Journal on Advances in Signal Processing, 2021 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