Results 221 to 230 of about 146,387 (255)

An algebraic solution to the time difference of arrival equations

Proceedings of SOUTHEASTCON '96, 2002
A closed form, algebraic solution to the time difference of arrival equations is presented. Prior derivations assumed that the receiving antennas are coplanar. Our derivation allows the receiving antennas to be located anywhere in three dimensional space.
J.D. Bard, F.M. Ham, W.L. Jones
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State-space modeling and estimation of time differences of arrival

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
We propose a new method for time differences of arrival (TDOA's) estimation of multiple sources whose spectra are unknown. In the first part, we show how state-space techniques can be used to easily arrive at an exact discrete global model of the transfer between the source inputs and sensor outputs for sources having rational spectra and for integer ...
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Interference-tolerant time-difference-of-arrival estimation for modulated signals

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
A method for estimation of the difference in the times of arrival of wavefronts of two separate sensors is introduced. The method, called SPECCORR, exploits the spectral correlation property, called spectral coherence, that essentially all modulated signals exhibit to obtain estimates that are highly tolerant to severely corruptive noise and ...
William A. Gardner, Chih-Kang Chen
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Source location from time differences of arrival: Identifiability and estimation

ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A new framework is presented for the problem of estimating source location from a set of time difference of arrival (TDOA) measurements. First the conditions under which the source coordinates are identifiable are derived and geometrically interpreted.
Jean-Marc Delosme, Martin Morf, Benjamin Friedlander   +2 more
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Identification of pressed keys by time difference of arrivals of mechanical vibrations

Computers & Security, 2016
We identify the pressed keys of commercial PIN-pads by monitoring the arrival times of mechanical vibrations.We correctly classify the pressed key with 96.4% of accuracy.The certification processes does not address this new side-channel attack.We explain what are the design flaws responsible for this vulnerability.
Gerson de Souza Faria, Hae Yong Kim
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Rank Properties for Matrices Constructed From Time Differences of Arrival

IEEE Transactions on Signal Processing, 2018
Time Difference of Arrival (TDOA) positioning has been an active research over the years due to its rich amounts of applications. Improving the quality of the TDOA measurements, especially under harsh scenarios, is crucial to achieve better localization accuracy and higher noise tolerance. Increasing the TDOA quality has been traditionally based on the
Trung-Kien Le 0002, K. C. Ho 0001, Trung-Hieu Le   +2 more
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PinPoint Time Difference of Arrival for Unsynchronized 802.11 Wireless Cards

2010 Proceedings IEEE INFOCOM, 2010
The ability to measure location using time of flight in 802.11 networks is impeded by the standard one microsecond clock resolution, imprecise synchronization of the 802.11 protocol, and the inaccuracy of available clock oscillators. We demonstrate a technique for off-the-shelf 802.11 hardware that enables accurate determination of location of ...
Matthew Mah, Neha Gupta 0001, Ashok K. Agrawala   +2 more
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Target tracking by time difference of arrival using recursive smoothing

Signal Processing, 2005
The paper presents a simple recursive solution to passive tracking of maneuvering targets using time difference of arrival (TDOA) measurements. Firstly, an iterative Gauss-Newton algorithm is developed for stationary target localization based on a constrained weighted least-squares (CWLS) criterion.
Kutluyil Dogancay, Ahmad Hashemi-Sakhtsari   +1 more
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Localization of multiple sources using time-difference of arrival measurements

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
This paper addresses the problem of localizing an unknown number of static sources emitting unknown signals from time-difference of arrival (TDOA) measurements. Based on the framework of random finite sets and finite set statistics, we formulate the Bayesian estimation problem and develop a particle-based localization algorithm that overcomes the ...
Florian Meyer, Alessandra Tesei, Moe Z. Win   +2 more
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Fast Calculation Method for Time Difference of Arrival-based Localization

2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2023
Gyula Simon, Gergely Vakulya
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