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Ultra-wideband (UWB) transmitter location using time difference of arrival (TDOA) techniques
The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, 2004Ultra-wideband (UWB) signals lend themselves to localization measurements using time difference of arrival (TDOA), or time delay estimation (TDE), techniques. However, TDOA estimation is complicated by pulse distortion due to the antenna elements, other system components, and the multipath propagation environment.
D.P. Young +3 more
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Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, 2020
Abstract The problem of localizing a moving target arises in various forms in wireless sensor networks. Deploying multiple sensing receivers and using the time-difference-of-arrival (TDOA) of the target’s emitted signal is widely considered an effective localization technique.
Chandler J. Panetta +2 more
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Abstract The problem of localizing a moving target arises in various forms in wireless sensor networks. Deploying multiple sensing receivers and using the time-difference-of-arrival (TDOA) of the target’s emitted signal is widely considered an effective localization technique.
Chandler J. Panetta +2 more
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2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018
An intelligent system is proposed to locate and classify audio source signals in large spaces. The system is composed of a sparsely distributed microphone array and an artificial intelligence (AI) system. A sparse array aimed for acoustic source localization and signal extraction is configured.
Mingsian R. Bai +2 more
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An intelligent system is proposed to locate and classify audio source signals in large spaces. The system is composed of a sparsely distributed microphone array and an artificial intelligence (AI) system. A sparse array aimed for acoustic source localization and signal extraction is configured.
Mingsian R. Bai +2 more
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A Geometric Model for Estimating Time Difference of Arrival (TDOA) Performance
AIAA Scitech 2021 Forum, 2021Thomas L. Frey, Sean Ford
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2019
The lack of standard positioning system for wireless networks is the major problem for accurate position estimation of indoor environments. The imperfection of the existing localization techniques and applied wireless technologies may restrict the performance of indoor positioning system. In addition, indoor localization accuracy may be limited by some
Yuzana Hlaing, Nyein Aye Maung Maung
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The lack of standard positioning system for wireless networks is the major problem for accurate position estimation of indoor environments. The imperfection of the existing localization techniques and applied wireless technologies may restrict the performance of indoor positioning system. In addition, indoor localization accuracy may be limited by some
Yuzana Hlaing, Nyein Aye Maung Maung
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2012
The views expressed in this report are those of the author and do not reflect the official policy or position of the Department of Defense or the United States Government.
Hippenstiel, Ralph Dieter +2 more
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The views expressed in this report are those of the author and do not reflect the official policy or position of the Department of Defense or the United States Government.
Hippenstiel, Ralph Dieter +2 more
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Improvement of the Time Difference of Arrival (TDOA) estimation of GSM signals using wavelets
2012Prepared for: TENCAP Office, Department of the ...
Hippenstiel, Ralph Dieter +2 more
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2008
Abstract : Given a passive multistatic sensor network consisting of a set of commercial FM or acoustic transmitters, receivers, and a data processing center with their coordinate locations, scattered radiation responses can be used to identify fixed targets made up of straight lines and circular and elliptical arcs by employing the Hough Transform (HT)
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Abstract : Given a passive multistatic sensor network consisting of a set of commercial FM or acoustic transmitters, receivers, and a data processing center with their coordinate locations, scattered radiation responses can be used to identify fixed targets made up of straight lines and circular and elliptical arcs by employing the Hough Transform (HT)
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Time difference of arrival (TDOA) estimation using wavelet based denoising
The localization of mobile wireless communication units is studied. The most important method of localization is the time difference of arrival (TDOA) method. The wavelet transform is used to increase the accuracy of TDOA estimation. Several denoising techniques based on the wavelet transform are presented in this thesis.openaire +1 more source