Results 161 to 170 of about 7,056 (211)
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Improvement in estimation of time of arrival (TOA) from timing advance (TA)
ICUPC '98. IEEE 1998 International Conference on Universal Personal Communications. Conference Proceedings (Cat. No.98TH8384), 2002Wireless systems reporting TOA (time of arrival), the propagation time from the mobile station (MS) to the base station (BS), may use this information to assist with automatic location identification (ALI). The TA (timing advance), used in TDMA systems, may be used as an approximation for TOA.
G.P. Yost, S. Panchapakesan
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Wireless Personal Communications, 2020
Cell-free massive multiple input multiple output (MIMO) comprises a large number of distributed single antenna access points (APs) connected to a network controller through backhaul. Each user is served by neighbouring APs simultaneously. Cell-free Massive MIMO provides decent throughput and coverage improvement as compared to a small-cell.
Aqiel N. Almamori, Seshadri Mohan
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Cell-free massive multiple input multiple output (MIMO) comprises a large number of distributed single antenna access points (APs) connected to a network controller through backhaul. Each user is served by neighbouring APs simultaneously. Cell-free Massive MIMO provides decent throughput and coverage improvement as compared to a small-cell.
Aqiel N. Almamori, Seshadri Mohan
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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), 2011This 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 ...
M. Haspel
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Time-of-Arrival Estimation for Integrated Satellite Navigation and Communication Signals
IEEE Transactions on Wireless Communications, 2023Global navigation satellite systems (GNSSs) are used in numerous fields, but their vulnerability is a global problem that has yet to be solved. A promising way to effectively address this problem is by integrating navigation into emerging dense ...
Qihui Wei +3 more
semanticscholar +1 more source
Quantum delay in the time of arrival of free-falling atoms
Physical Review A, 2023Using standard results from statistics, we show that for Gaussian quantum systems the distribution of a time measurement at a fixed position can be directly inferred from the distribution of a position measurement at a fixed time as given by the Born ...
M. Beau, L. Martellini
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Pioneering time-of-arrival localization with cable-free and battery-free transponders
Journal of the Acoustical Society of America, 2023In traditional underwater acoustic positioning methods, reliance on systems such as Long Baseline (LBL) and Short Baseline (SBL) localization utilize transponders that actively transmit acoustic pulses.
Lina Pu, Yu Luo, Aijun Song
semanticscholar +1 more source
The Impact of Multipath Information on Time-of-Arrival Estimation
IEEE Transactions on Signal Processing, 2022Time-of-arrival (TOA) based localization plays a central role in current and future localization systems. Such systems, exploiting the fine delay resolution properties of wideband and ultra-wideband (UWB) signals, are particularly attractive for ranging ...
W.M. Gifford, D. Dardari, M. Win
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Time of Arrival and Angle of Arrival Estimation Algorithm in Dense Multipath
IEEE Transactions on Signal Processing, 2021Accurate position determination of a wireless device by time-of-arrival (TOA) and angle-of-arrival (AOA) estimation of the line-of-sight (LOS) path with an array of collocated antennas, is important in various applications.
Nuriel Rogel, D. Raphaeli, Oded Bialer
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Neural Networks, 2021
This paper presents an inertial neural network to solve the source localization optimization problem with l1-norm objective function based on the time of arrival (TOA) localization technique.
Chentao Xu, Qingshan Liu
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This paper presents an inertial neural network to solve the source localization optimization problem with l1-norm objective function based on the time of arrival (TOA) localization technique.
Chentao Xu, Qingshan Liu
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Super-Resolution Time-of-Arrival Estimation using Neural Networks
European Signal Processing Conference, 2021This paper presents a learning-based algorithm that estimates the time of arrival (ToA) of radio frequency (RF) signals from channel frequency response (CFR) measurements for wireless localization applications.
Yao-Shan Hsiao +2 more
semanticscholar +1 more source

