Results 21 to 30 of about 147 (116)
IET Signal Processing, Volume 16, Issue 8, Page 1002-1010, October 2022., 2022 Abstract Multidimensional scaling (MDS) is an attractive technique for a moving source localisation from time and frequency difference of arrival (time differences of arrival (TDOA)/frequency differences of arrival (FDOA)) measurements. However, its optimality has not yet been proven theoretically because of the difficult Moore–Penrose pesudo‐inverse ...
He‐Wen Wei, Fei Wen, Jian Cheng
wiley +1 more source
Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
IET Radar, Sonar & Navigation, 2021 This study addresses a signal processing technique in a search and rescue system. An international disaster rescue communications support programme such as COSPAS‐ search and rescue satellite‐aided tracking (SARSAT) estimates the position of a beacon ...
Jung‐Hoon Lee +3 more
doaj +1 more source
Optimal Sensor Deployment and Velocity Configuration With Hybrid TDOA and FDOA Measurements
IEEE Access, 2019 Source localization based on the hybrid time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements from distributed sensors is an essential problem in wireless sensor networks (WSNs).
Weijia Wang +4 more
doaj +1 more source
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
Geolocation with FDOA measurements via polynomial systems and RANSAC [PDF]
2018 IEEE Radar Conference (RadarConf18), 2018 This work has been submitted to the IEEE for possible ...
Cameron, Karleigh J., Bates, Daniel J.
openaire +2 more sources
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
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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
TDOA/FDOA estimation method based on dechirp
IET Signal Processing, 2016 A method based on dechirp is proposed to estimate the time difference of arrival and frequency difference of arrival between two linear frequency modulated signals. By dechirping two signals with different angles and computing the projection of cross ambiguity function (CAF) of the two dechirped signals on Doppler axis, a set of equations can be set up
Fuyang Guo, Zijing Zhang, Linsen Yang
openaire +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