Results 161 to 170 of about 8,425 (174)

Distributed time-difference-of-arrival (TDOA)-based localization of a moving target

2016 IEEE 55th Conference on Decision and Control (CDC), 2016
Localization and tracking of a moving target has been established as a key problem in wireless sensor networks, with many algorithms being proposed in this area. In particular, time-difference of arrival (TDOA) localization is considered to be a cost-effective and accurate localization technique.
Osama Ennasr, Guoliang Xing, Xiaobo Tan
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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, 2004
Ultra-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, C.M. Keller, D.W. Bliss, K.W. Forsythe   +3 more
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Distributed Estimation and Tracking Using Time-Difference-of-Arrival (TDOA) Measurements

Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, 2017
Localization and tracking of a moving target arises in many different contexts and is an important problem in the field of wireless sensor networks. One class of localization schemes exploits the time-difference-of-arrival (TDOA) of a signal emitted by the target and detected by multiple sensors.
Osama N. Ennasr, Xiaobo Tan
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Direction-of-arrival methods (DOA) and time difference of arrival (TDOA) position location technique

Proceedings of the Twenty-Second National Radio Science Conference, 2005. NRSC 2005., 2005
This paper provides a detailed overview of the various methods for estimation of direction-of-arrival (also called angle-of-arrival) of a radio signal using an antenna array. The array-based directional-of-arrival (DOA) estimation techniques considered here are broadly divided into two different types: conventional techniques, and subspace based ...
Mohamed Abd Elsalam Mofeed, Hohamed Abd Elsalam Mofeed   +1 more
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Distributed Particle Filter With Online Model Learning for Localization Using Time-Difference-of-Arrival (TDOA) Measurements

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, Osama N. Ennasr, Xiaobo Tan   +2 more
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S-TDoA — Sequential time difference of arrival — A scalable and synchronization free approach forl Positioning

2016 IEEE Wireless Communications and Networking Conference, 2016
In the past various solutions for localization evolved to productive usage for wireless applications. These solutions are robust, precise and energy efficient. However, scalability, complexity and flexibility are still open issues. Especially the supported number of objects or update rates for localization are still limiting factors for the usage of ...
Mathias Pelka, Horst Hellbruck
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Time Difference of Arrival (TDOA)-Based Acoustic Source Localization and Signal Extraction for Intelligent Audio Classification

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, Shih-Syuan Lan, Jong-Vi Huang   +2 more
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An enhanced Time-based Wireless Indoor Localization Using Synchronized Time-Difference-of-Arrival (TDoA) Technique

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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A Geometric Model for Estimating Time Difference of Arrival (TDOA) Performance

AIAA Scitech 2021 Forum, 2021
Thomas L. Frey, Sean Ford
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Target Location and ID From a Passive Multistatic Sensor Network Using Time Differences of Arrival (TDOAs) and the Hough Transform

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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