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An underwater sensor network localization algorithm based on Time-of-Arrivals (TOAs)

2013 Ninth International Conference on Natural Computation (ICNC), 2013
The underwater sensor network localization algorithm is one of the very important steps in the underwater sensor network initialization process. Due to the deployment of environmental constraints, the underwater sensor node can only be indirectly localized by calculation.
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Direction/time of arrivals (D/TOA) estimation characteristics of the MUSIC algorithm for the actual extended targets of the chirp pulse tracking radar

Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322), 2003
This paper proposes the time space MUSIC technique using the chirp pulse signal of a tracking radar. Direction/time of arrival (D/TOA) estimation characteristics are evaluated for the simulated point sources, simulated extended air targets, and the actual extended air targets.
M. Uneda, H. Hokazono
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Geometric optimization of a time-of-arrival (TOA) based self-positioning terrestrial system

2011 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS 2011), 2011
This work investigates geometric optimization of antenna configuration in lateral geometry for a terrestrial time-of-arrival based self-positioning system, considering optimization confronted by two competing and opposing phenomena, the purely geometric analogy of GPS geometric dilution of precision, and tracking errors in correlation of the ...
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Time of arrival (TOA) measurements

There is provided a method (120) and/or an apparatus for time of arrival, TOA, measurements, comprising: performing (122), at a sample resolution, a correlation process on a received measurement signal to obtain a measurement correlation function; determining (124) a peak sample and correlation data of at least one additional sample preceding and/or ...
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Localization in 6G Communication Networks Using Low Complex Time of Arrival (TOA) and Time Difference of Arrival (TDOA) Techniques

2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS)
M L Ravi Chandra   +2 more
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