Results 31 to 40 of about 1,673 (220)
IET Signal Processing, Volume 16, Issue 3, Page 299-309, May 2022., 2022 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
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
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
Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations
IET Signal Processing, Volume 16, Issue 2, Page 170-200, April 2022., 2022 Abstract This study addresses the problem of geolocating a strictly non‐circular source on the surface of Earth by a cluster of passive satellites. The known satellite positions and velocities are subject to random errors. The authors propose a single‐step satellite geolocation algorithm that directly localises the transmitter from sensor outputs using
Jiexin Yin +3 more
wiley +1 more source
An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements
Chinese Journal of Electronics, Volume 31, Issue 2, Page 255-265, March 2022., 2022 This paper deals with the 3‐D moving source localization using time difference of arrival (TDOA), frequency difference of arrival (FDOA), angle of arrival (AOA) and AOA rate measurements, gathered from a set of spatially distributed receivers. The TDOA, FDOA, AOA and AOA rate measurement equations were firstly established according to the space ...
Ting DING, Yongsheng ZHAO, Yongjun ZHAO
wiley +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
Using heterogeneous satellites for passive detection of moving aerial target [PDF]
, 2020 Passive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection.
Chen, Yunfei +5 more
core +1 more source
Autonomous orbit determination and navigation for formations of CubeSats beyond LEO [PDF]
, 2017 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