Results 231 to 240 of about 166,462,105 (278)

Minimum variance time of arrival estimation for positioning

Signal Processing, 2010
Positioning systems based on time of arrival (TOA) rely on an accurate estimation of the first signal arrival which is the only one bearing position information. In this context, first arrival path detectors based on the minimum variance (MV) and the normalized minimum variance (NMV) criteria are robust against multipath propagation and non-line-of ...
Luis Blanco 0001, Jordi Serra, Montse Nájar   +2 more
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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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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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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, Zheng, Feng, Kaiser, Thomas   +2 more
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Time-of-Arrival Estimation in Mobile Tour Guides

2013
In recent years advanced car navigation systems have emerged as a key tool for commuters. For tourists and visitors, analogous mobile tour guides are equally important when exploring urban and outdoor spaces. During the development of a mobile tour guide designed specifically forhikers and cyclists the need for route planning based on individualized ...
Arthur Pitman, Josef Bernhart, Christian Posch, Martin Zambaldi, Markus Zanker   +4 more
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Semi-coherent time of arrival estimation using regression

The Journal of the Acoustical Society of America, 2012
Time of arrival (ToA) estimation is essential for many types of remote sensing applications including radar, sonar, and underground exploration. The standard method for ToA estimation employs a matched filter for computing the maximum likelihood estimator (MLE) for ToA.
Alexander, Apartsin, Leon N, Cooper, Nathan, Intrator   +2 more
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Efficient time of arrival estimation in the presence of multipath propagation

The Journal of the Acoustical Society of America, 2013
Most of acoustical experiments face multipath propagation issues. The times of arrival of different ray paths on a sensor can be very close. To estimate them, high resolution algorithms have been developed. The main drawback of these methods is their need of a full rank spectral matrix of the signals.
Villemin, Guilhem, Fossati, Caroline, Bourennane, Salah   +2 more
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Bias free estimation of the variance of time of arrival differences

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1985
In the frequency domain estimation of Time of Arrival differences, phase data of the cross-spectrum may show correlation between frequency bins due to either insufficient time-bandwidth product or the use of a nonrectangular window on the input signal samples.
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Detection and time-of-arrival estimation of underwater acoustic signals

2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016
We focus on detection and time-of-arrival (ToA) estimation of underwater acoustic signals of unknown structure. The common practice to use a detection threshold may fail when the assumed channel model is mismatched or when noise transients exist. We propose to detect and evaluate the ToA by labeling samples of observed data as ‘signal’ or ‘noise’. Then,
Diamant, Roee, KASTNER, RYAN CHARLES, Zorzi, Michele   +2 more
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Time-of-Arrival Estimation Based on Information Theoretic Criteria

IEEE Transactions on Signal Processing, 2013
The possibility to accurately localize tags by using wireless techniques is of great importance for several emerging applications in the Internet of Things. Precise ranging can be obtained with ultra wideband (UWB) impulse radio (IR) systems, where short impulses are transmitted, and their time-of-arrival (ToA) is estimated at the receiver.
GIORGETTI, ANDREA, CHIANI, MARCO
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