Results 161 to 170 of about 8,673 (200)

Distributed Particle Filter With Online Model Learning for Localization Using Time-Difference-of-Arrival (TDOA) Measurements

open access: closedVolume 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
openalex   +2 more sources

Multi-cycle estimator for time-difference-of-arrival (TDOA) and its performance

open access: closedIEE Proceedings - Radar, Sonar and Navigation, 2006
Single-cycle time-difference-of-arrival estimator utilises signal's cyclostationarity property of only one cycle frequency. A new approach exploiting the signal's cyclostationarity property of more than one cycle frequency is introduced. Compared with the single-cycle estimator, the method can reduce more estimation variance. The qualitative discussion
。 Huang, Zhou Zhou
  +4 more sources

Direction-of-arrival methods (DOA) and time difference of arrival (TDOA) position location technique

open access: closedProceedings 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   +1 more
openalex   +2 more sources

Time Difference of Arrival (TDOA)-Based Acoustic Source Localization and Signal Extraction for Intelligent Audio Classification

open access: closed2018 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
openalex   +2 more sources

S-TDoA — Sequential time difference of arrival — A scalable and synchronization free approach forl Positioning

open access: closed2016 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 Hellbrück
openalex   +2 more sources

Ultra-wideband (UWB) transmitter location using time difference of arrival (TDOA) techniques

open access: closedThe 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. Young   +3 more
openalex   +2 more sources

Distributed Estimation and Tracking Using Time-Difference-of-Arrival (TDOA) Measurements

open access: closedVolume 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 Ennasr, Xiaobo Tan
openalex   +2 more sources

Target Location and ID From a Passive Multistatic Sensor Network Using Time Differences of Arrival (TDOAs) and the Hough Transform

open access: closed, 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)
A. R. DiDonato
openalex   +2 more sources

Localization in 6G Communication Networks Using Low Complex Time of Arrival (TOA) and Time Difference of Arrival (TDOA) Techniques

open access: closed2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS)
M. L. Ravi Chandra   +2 more
openalex   +2 more sources

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