Results 1 to 10 of about 4,206,819 (203)

ANGLE: ANGular Location Estimation Algorithms [PDF]

open access: yesIEEE Access, 2020
In this paper, we present two localization algorithms that exploit the Angle of Arrival (AoA) parameters of the received signal. The proposed ANGular Location Estimation (ANGLE) algorithms utilize a probabilistic model to describe the angular response of
Noori Bnilam   +4 more
doaj   +3 more sources

Angle Estimation for Range-Spread Targets Based on Scatterer Energy Focusing [PDF]

open access: yesSensors
Wideband radar is becoming increasingly significant in modern radar systems. However, traditional monopulse angle estimation techniques are not suitable for wideband targets exhibiting range extension effects.
Zekai Huang   +3 more
doaj   +2 more sources

Radiation Angle Estimation and High-Precision Pedestrian Positioning by Tracking Change of Channel State Information [PDF]

open access: yesSensors, 2020
P2V (pedestrian-to-vehicle) communication, in which a pedestrian’s mobile device notifies its position to nearby vehicles in order to prevent pedestrian accidents, has attracted much research interest recently, but its performance largely depends ...
Wataru Komamiya, Suhua Tang, Sadao Obana
doaj   +2 more sources

Low Elevation Angle Estimation with Range Super-Resolution in Wideband Radar [PDF]

open access: yesSensors, 2020
Height detection of a low elevation angle target is crucial in radar applications. Due to the presence of the multiple path reflections, elevation angle estimation is difficult with conventional narrowband radar waveforms.
Sha Huan   +3 more
doaj   +2 more sources

A Literature Survey on Sideslip Angle Estimation Using Vehicle Dynamics Based Methods

open access: yesIEEE Access
The vehicle sideslip angle or lateral velocity is a measure both for driving stability and for occupant’s subjective perception of safety. With the introduction of vehicle dynamics control systems and automated driving functions, knowledge of this
Dzenana Puscul   +3 more
doaj   +2 more sources

Effects of Dynamic IMU-to-Segment Misalignment Error on 3-DOF Knee Angle Estimation in Walking and Running [PDF]

open access: yesSensors, 2022
The inertial measurement unit (IMU)-to-segment (I2S) alignment is an important part of IMU-based joint angle estimation, and the accurate estimation of the three degree of freedom (3-DOF) knee angle can provide practical support for the evaluation of ...
Chao Jiang   +4 more
doaj   +2 more sources

Real-Time Flange Bolt Loosening Detection with Improved YOLOv8 and Robust Angle Estimation [PDF]

open access: yesSensors
Flange bolts are vital fasteners in civil, mechanical, and aerospace structures, where preload stability directly affects overall safety. Conventional methods for bolt loosening detection often suffer from missed detections, weak feature representation ...
Yingning Gao, Sizhu Zhou, Meiqiu Li
doaj   +2 more sources

Load angle estimation of synchronous generator [PDF]

open access: yesZbornik Radova: Elektrotehnički Institut "Nikola Tesla", 2020
In this paper a load angle estimation method of round rotor synchronous generator is presented, for load angle limiter in AVR systems design purpose. To get information of load angle, it is necessary to have values of the one terminal voltage, one phase ...
Veinović Slavko   +6 more
doaj   +3 more sources

Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review. [PDF]

open access: yesSensors (Basel), 2019
Motion capture systems are recognized as the gold standard for joint angle calculation. However, studies using these systems are restricted to laboratory settings for technical reasons, which may lead to findings that are not representative of real-life ...
Poitras I   +6 more
europepmc   +2 more sources

An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2023
This paper proposes a novel vehicle sideslip angle estimator, which uses the physical knowledge from an Unscented Kalman Filter (UKF) based on a non-linear single-track vehicle model to enhance the estimation accuracy of a Convolutional Neural Network ...
A. Bertipaglia   +3 more
semanticscholar   +1 more source

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