Results 51 to 60 of about 19,236 (242)

Geolocation with FDOA Measurements via Polynomial Systems and RANSAC

, 2017
The problem of geolocation of a transmitter via time difference of arrival (TDOA) and frequency difference of arrival (FDOA) is given as a system of polynomial equations.
Bates, Daniel J., Cameron, Karleigh J.
core   +1 more source

Location-free Spectrum Cartography [PDF]

, 2019
Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using spatially distributed sensor measurements.
Beferull-Lozano, Baltasar, Ramos, Luis Miguel Lopez, Romero, Daniel, Teganya, Yves   +3 more
core   +2 more sources

TDOA-Based Indoor Localization via Linear Fusion With Low-Rank Matrix Approximation

IEEE Internet of Things Journal
Target indoor localization has become an attractive research topic due to its importance in location-based applications in wireless networks for sensing, controlling, and communicating.
Haibin Li, Osama Elnahas, Zhi Quan
semanticscholar   +1 more source

Research of underground positioning algorithm based on DOA and TDOA

Gong-kuang zidonghua, 2013
In view of problems that current underground positioning system is sensitive to environmental change and has low positioning accuracy, the paper introduced an underground positioning algorithm based on DOA and TDOA. The algorithm takes advantages of high
ZHAI Yan-rong, HUANG Huan, ZHANG Shen, MA Xiu-ping, LIU Wei, YOU Chun-xia   +5 more
doaj   +1 more source

Multi-Array 5G V2V Relative Positioning: Performance Bounds

, 2019
We study the performance bounds of vehicle-to-vehicle (V2V) relative positioning for vehicles with multiple antenna arrays. The Cram\'{e}r-Rao bound for the estimation of the relative position and the orientation of the Tx vehicle is derived, when angle ...
García, Mario H. Castañeda, Kakkavas, Anastasios, Nossek, Josef A., Stirling-Gallacher, Richard A.   +3 more
core   +1 more source

Quantification of the performance of iterative and non-iterative computational methods of locating partial discharges using RF measurement techniques [PDF]

, 2017
Partial discharge (PD) is an electrical discharge phenomenon that occurs when the insulation materialof high voltage equipment is subjected to high electric field stress. Its occurrence can be an indication ofincipient failure within power equipment such
Alistair J. Reid, Bancroft, Brian G. Stewart, Bucher, Chiu, Coenen, El Mountassir, El Mountassir, Hikita, Ho, Hu, Judd, Lu, Mardiana, Markalous, Meijer, Miao, Moore, Othmane El Mountassir, Scott G. McMeekin, Sinaga, Steiner, Stewart, Tang, Tian, Tian, Wagenaars, Yang, Zhang, Zheng   +29 more
core   +1 more source

The Geometry of Far-Field Passive Source Localization With TDOA and FDOA

IEEE Transactions on Aerospace and Electronic Systems, 2021
Passive localization of acoustic or radio-frequency sources is often performed using time-difference-of-arrival (TDOA) measurements and/or frequency-difference-of-arrival (FDOA) measurements.
Karleigh Pine, Samuel Pine, M. Cheney
semanticscholar   +1 more source

Distributed localization of a RF target in NLOS environments

, 2014
We propose a novel distributed expectation maximization (EM) method for non-cooperative RF device localization using a wireless sensor network. We consider the scenario where few or no sensors receive line-of-sight signals from the target. In the case of
Leng, Mei, Quitin, Francois, Razul, Sirajudeen G., Tay, Wee Peng, Xu, Wenjie   +4 more
core   +1 more source

Orbit-based authentication using TDOA signatures in satellite networks

Wireless Network Security, 2021
Given the nature of satellites orbiting the Earth on a fixed trajectory, in principle, it is interesting to investigate how this invariant can be exploited for security purposes.
Eric Jedermann, Martin Strohmeier, Matthias Schäfer, J. Schmitt, Vincent Lenders   +4 more
semanticscholar   +1 more source

A survey of localization in wireless sensor network [PDF]

, 2012
Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method.
Ampeliotis D., Borras J., Brida P., Carsten Maple, Chen P. C., Chen Y., Chengdong Wu, Chia-Ho O., Deng K., Dong S., Erol M., Fujiwara R., Gezici S., Gogolak L., Goldenberg D. K., Hamouda Y. E. M., Hao Wu, Kaplan L. M., Kim W., Lee J., Long Cheng, Mengxin Li, Niu R., Qu X., Qu X., Shang Y., Silventoinen M. I., Suroso D. J., Venkatraman S., Wylie M. P., You C., Yunzhou Zhang, Zhu Y.   +32 more
core   +3 more sources