Results 251 to 260 of about 891,103 (297)

Different perspective of time difference of arrival averaging

2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012
Any 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 Cakir, Ayhan Yazgan, Omer Cakir, Ismail Kaya   +3 more
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Passive Source Localization Using Time Differences of Arrival and Gain Ratios of Arrival

IEEE Transactions on Signal Processing, 2008
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Ho, K. C., Sun, Ming
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Recursive geolocation with Time Differences of Arrival

2009 IEEE 17th Signal Processing and Communications Applications Conference, 2009
Geolocation 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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Positioning using time-difference of arrival measurements

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
The 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.
F. Gustafsson, F. Gunnarsson
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Robust Localization Using Time Difference of Arrivals

IEEE Signal Processing Letters, 2016
We 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, Brian. D. O. Anderson, Guoqiang Mao, Zaiyue Yang, Jiming Chen, Zihuai Lin   +5 more
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Navigation from time differences of arrival

The Journal of the Acoustical Society of America, 2004
A brief history and a few modern developments are given for hyperboliclike navigation systems in which location is estimated from measurements of the difference in the propagation time of a signal from two or more known locations. Today, hyperbolic navigation is used in locating ships, calling animals, GPS receivers, cellular telephones, and other ...
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Robust Self-calibration of Constant Offset Time-difference-of-arrival

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
In this paper we study the problem of estimating receiver and sender positions from time-difference-of-arrival measurements, assuming an unknown constant time-difference-of-arrival offset. This problem is relevant for example for repetitive sound events. In this paper it is shown that there are three minimal cases to the problem. One of these (the five
Batstone, K., Flood, G., Beleyur, T., Larsson, V., Goerlitz, H., Oskarsson, M., Aström, K.   +6 more
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The impact of acoustic signal models on time-difference-of-arrival/frequency-difference-of-arrival estimation

The Journal of the Acoustical Society of America, 2007
Much research has been done in the area of estimating time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) and their use in locating a radiating source. Early work in this area focused on locating acoustic sources using passive sonar processing.
Mark L. Fowler, Xi Hu
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Compressed time difference of arrival based emitter localization

2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015
Utilizing the time differences of arrival of a signal, impinging on a distributed sensor network, is a well known approach for the location estimation of a radio wave emitter. The high sampling rate necessary for a precise positioning implies a huge amount of data exchange between the sensor nodes.
Johannes Schmitz, Rudolf Mathar, Dominik Dorsch   +2 more
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