Results 211 to 220 of about 146,386 (253)
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Digital Signal Processing, 2015
The problem of jointly estimating time difference of arrival (TDOA) and frequency difference of arrival (FDOA) or Doppler has a variety of practical applications. The conventional cyclic ambiguity function and the fractional lower-order ambiguity function suffer performance degradation in the presence of non-Gaussian α-stable impulsive noise and ...
Yang Liu 0063 +2 more
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The problem of jointly estimating time difference of arrival (TDOA) and frequency difference of arrival (FDOA) or Doppler has a variety of practical applications. The conventional cyclic ambiguity function and the fractional lower-order ambiguity function suffer performance degradation in the presence of non-Gaussian α-stable impulsive noise and ...
Yang Liu 0063 +2 more
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Different perspective of time difference of arrival averaging
2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012Any emitter can be positioned using three or more receivers in two dimensional planes and four or more receivers in three dimensional planes. The transmitter signal reaches at the receivers that synchronized each other's in different times. Using this time differences of arrival (TDOAs) hyperbolic lines of positions (LOPs) are defined and target is ...
Oguzhan Çakir +3 more
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Age differences in estimating arrival-time
Neuroscience Letters, 2004The present study examined the accuracy in extrapolating an occluded trajectory in relation to observer age. Adults and children aged 7, 10, and 13 were tested in a prediction-motion task which consisted of judging, after the occlusion of the final part of its path, the moment of arrival of a moving stimulus towards a specified position. Results showed
Benguigui, Nicolas +2 more
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Positioning using time-difference of arrival measurements
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004The problem of position estimation from time difference of arrival (TDOA) measurements occurs in a range of applications from wireless communication networks to electronic warfare positioning. Correlation analysis of the transmitted signal to two receivers gives rise to one hyperbolic function.
Fredrik Gustafsson, Fredrik Gunnarsson
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Time difference of arrival dilution of precision and applications
IEEE Transactions on Signal Processing, 1999Performance prediction for time difference of arrival (TDOA) systems that rely on standard covariance methods exhibit poor correlation with simulated results. A superior metric (TDOA dilution of precision (DOP)) is derived. DOP is familiar to Global Positioning System (GPS) users and, although the equations governing TDOA DOP are quite different ...
John D. Bard, Fredric M. Ham
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Robust Localization Using Time Difference of Arrivals
IEEE Signal Processing Letters, 2016We investigate a localization problem using time-difference-of-arrival measurements with unknown and bounded measurement errors. Different from most existing algorithms, we consider the minimization of the worst-case position estimation error to improve the robustness of the algorithm.
Xiufang Shi +5 more
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Passive Source Localization Using Time Differences of Arrival and Gain Ratios of Arrival
IEEE Transactions on Signal Processing, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
K. C. Ho 0001, Ming Sun 0002
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Recursive geolocation with Time Differences of Arrival
2009 IEEE 17th Signal Processing and Communications Applications Conference, 2009Geolocation has particular interest and importance in Electronic Warfare. In this work, Time Difference of Arrival (TDOA) Geolocation is studied. A recursive least squares filter based algorithm has been developed. Location estimation is updated using TDOA measurement sets from moving receivers under the assumption of fixed emitter location.
Sedat Camlica, Yalcin Tanik
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Asynchronous time difference of arrival (ATDOA) method
Pervasive and Mobile Computing, 2015A new method for a location service in the asynchronous wireless sensor networks is outlined. This method, which is called asynchronous time difference of arrival (ATDOA), enables calculation of the position of a mobile node without knowledge of relative time differences (RTDs) between measuring sensors.
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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, 1985In 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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