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Time-of-arrival estimation for blind beamforming

2013 18th International Conference on Digital Signal Processing (DSP), 2013
Ad-hoc arrays formed by mobile devices are increasingly available to capture audio and video in social events. Using spatial signal processing algorithms, e.g., beamforming, with microphone signals of such arrays is hindered by the unknown locations of the devices and the lack of temporal synchronization between them. While self-calibration methods can
Tinakari Aki, Pertilä Pasi
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Interference Mitigation for Time of Arrival Estimation

2010 IEEE Wireless Communication and Networking Conference, 2010
In indoor environments, geolocation using Time of Arrival (TOA) estimation must use a wide bandwidth to overcome the effects of multipath propagation. Narrowband interference from other applications is a significant problem. In this paper we investigate a number of signal processing schemes to detect and overcome one or more relatively narrowband ...
David Humphrey, Mark Hedley
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Indoor distance estimation by using time of arrival

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
Nowadays, researches about indoor positioning is very popular. Estimating location of a communication node can be used in navigation in a shopping mall or tracking in a work place, etc. In applications without a reference point, relative location of the nodes is preferred.
Erdenay Aktas, Ozgur Tamer
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Intelligent time of arrival estimation

2011 IEEE Forum on Integrated and Sustainable Transportation Systems, 2011
Traditional time-of-arrival estimation techniques are often used in advanced transportation systems such as in-car navigation systems and fleet management systems. These techniques tend to neglect certain categories of context when estimating a vehicle's time-of-arrival at a given destination. Particularly important categories of such neglected context
Derek Fagan, Rene Meier
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A comparison of prehospital estimated time of arrival and actual time of arrival to an emergency department

The American Journal of Emergency Medicine, 1990
The accuracy of the paramedic's estimated time until arrival (ETA) to an emergency department has never been studied. Two hundred and eighty paramedic runs were prospectively studied in a suburban, residency-affiliated emergency department. The average ETA was 7.39 +/- 3.72 minutes.
D A, Propp, C A, Rosenberg
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Performance of ML estimators for time of arrival estimation

Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324), 1999
The performance of a set of high-resolution algorithms for estimating the time of arrival of a band-limited signal received on a multipath channel is compared. The algorithms investigated use an increasing degree of known information about the channel and estimate the unknown elements using the maximum-likelihood criterion.
L. Krasny, H. Koorapaty
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Predicting Estimated Time of Arrival for Commercial Flights

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Unprecedented growth is expected globally in commercial air traffic over the next ten years. To accommodate this increase in volume, a new concept of operations has been implemented in the context of the Next Generation Air Transportation System (NextGen) in the USA and the Single European Sky ATM Research (SESAR) in Europe.
Samet Ayhan, Pablo Costas, Hanan Samet
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Enhanced time of arrival estimation with successive cancellation

Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367), 2003
Two methods for accurate estimation of time or angle of arrival that use successive cancellation techniques are presented. The first method performs successive cancellation with a correlation approach used for each iteration. The second method uses the multiple signal identification and classification (MUSIC) approach for each iteration.
Leonid G. Krasny, Havish Koorapaty
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Time-of-arrival estimation in path attenuation

2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, 2009
We consider a time-of-arrival (ToA) estimation in the presence of path attenuation. Maximum correlation (MC) is revisited and maximum likelihood (ML) is newly derived to estimate the ToA. It reveals that for low effective bandwidth, short distance and large path loss exponent, the ML has a smaller error variance than the MC.
Sieskul, Bamrung Tau   +2 more
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Undersampling for parameter estimation with application to time of arrival estimation

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002
This paper deals with the effect of sampling the continuous observations on parameter estimation errors. In particular, we study the problem of estimating the time of arrival (TOA) of a continuous, deterministic signal in noise. For this problem, the sampling procedure transforms the continuous parameter space into a discrete one, resulting in inherent
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