scholarly journals Spatial positioning of underwater components for Baikal- GVD

2019 ◽  
Vol 207 ◽  
pp. 07004 ◽  
Author(s):  
A.D. Avrorin ◽  
A.V. Avrorin ◽  
V.M. Aynutdinov ◽  
R. Bannash ◽  
I.A. Belolaptikov ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Spatial Orientation ◽  
Reconstruction Error ◽  
Neutrino Telescope ◽  
Positioning System ◽  
Timing Error ◽  
Positioning Accuracy ◽  
Under Construction ◽  
Spatial Positioning

Baikal-GVD is a cubic kilometer-scale neutrino telescope currently under construction in Lake Baikal. The detector’s components are mobile and may drift from their initial coordinates or change their spatial orientation. This introduces a reconstruction error, particularly a timing error for PMT hits. This problem is mitigated by a combination of a hydroacoustic positioning system and per-component acceleration and orientation sensors. Under regular conditions, the average positioning accuracy for a GVD component is estimated to be less than 13 cm.

scholarly journals Time calibration of the neutrino telescope Baikal-GVD

2019 ◽  
Vol 207 ◽  
pp. 07003 ◽  
Author(s):  
A.D. Avrorin ◽  
A.V. Avrorin ◽  
V.M. Aynutdinov ◽  
R. Bannash ◽  
I.A. Belolaptikov ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Neutrino Telescope ◽  
Energy Position ◽  
Optimal Energy ◽  
Time Calibration ◽  
Under Construction

Baikal-GVD is a cubic-kilometer scale neutrino telescope, which is currently under construction in Lake Baikal. Baikal-GVD is an array of optical modules arranged in clusters. The first cluster of the array has been deployed and commissioned in April 2015. To date, Baikal-GVD consists of 3 clusters with 864 optical modules. One of the vital conditions for optimal energy, position and direction reconstruction of the detected particles is the time calibration of the detector. In this article, we describe calibration equipment and methods used in Baikal-GVD and demonstrate the accuracy of the calibration procedures.

A hydroacoustic positioning system for the experimental cluster of the cubic-kilometer-scale neutrino telescope at Lake Baikal

2013 ◽  
Vol 56 (4) ◽  
pp. 449-458 ◽  
Author(s):  
A. V. Avrorin ◽  
V. M. Aynutdinov ◽  
R. Bannasch ◽  
I. A. Belolaptikov ◽  
D. Yu. Bogorodsky ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Neutrino Telescope ◽  
Positioning System

scholarly journals Baikal-GVD: status and prospects

2018 ◽  
Vol 191 ◽  
pp. 01006 ◽  
Author(s):  
A.D. Avrorin ◽  
A.V. Avrorin ◽  
V.M. Aynutdinov ◽  
R. Bannash ◽  
I.A. Belolaptikov ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Neutrino Telescope ◽  
Full Scale ◽  
Next Generation ◽  
The Third ◽  
Neutrino Fluxes ◽  
Under Construction ◽  
Demonstration Cluster ◽  
Astrophysical Neutrino

Baikal-GVD is a next generation, kilometer-scale neutrino telescope under construction in Lake Baikal. It is designed to detect astrophysical neutrino fluxes at energies from a few TeV up to 100 PeV. GVD is formed by multi-megaton subarrays (clusters). The array construction started in 2015 by deployment of a reduced-size demonstration cluster named "Dubna" . The first cluster in it’s baseline configuration was deployed in 2016, the second in 2017 and the third in 2018. The full-scale GVD will be an array of ~10.000 light sensors with an instrumented volume about of 2 cubic km. The first phase (GVD-1) is planned to be completed by 2020-2021. It will comprise 8 clusters with 2304 light sensors in total. We describe the design of Baikal-GVD and present selected results obtained in 2015 - 2017.

scholarly journals Baikal-GVD: cascades

2019 ◽  
Vol 207 ◽  
pp. 05001
Author(s):  
A.D. Avrorin ◽  
A.V. Avrorin ◽  
V.M. Aynutdinov ◽  
R. Bannash ◽  
I.A. Belolaptikov ◽  
...  
Keyword(s):  
Lake Baikal ◽  
High Energy ◽  
Neutrino Telescope ◽  
Next Generation ◽  
Preliminary Results ◽  
Astrophysical Neutrinos ◽  
Neutrino Fluxes ◽  
Under Construction ◽  
Early Phases ◽  
Astrophysical Neutrino

Baikal-GVD is a next generation, kilometer-scale neutrino telescope currently under construction in Lake Baikal. GVD is formed by multi-megaton subarrays (clusters) and is designed for the detection of astrophysical neutrino fluxes at energies from a few TeV up to 100 PeV. The design of Baikal-GVD allows one to search for astrophysical neutrinos with flux values measured by IceCube already at early phases of the array construction. We present here preliminary results of the search for high-energy neutrinos via the cascade mode obtained in 2015 and 2016.

scholarly journals Baikal-GVD: first results and prospects

2019 ◽  
Vol 209 ◽  
pp. 01015 ◽  
Author(s):  
A.D. Avrorin ◽  
A.V. Avrorin ◽  
V.M. Aynutdinov ◽  
R. Bannash ◽  
I.A. Belolaptikov ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Neutrino Telescope ◽  
Effective Volume ◽  
Next Generation ◽  
Preliminary Results ◽  
High Energies ◽  
First Results ◽  
Under Construction ◽  
Relativistic Particles

Next generation cubic kilometer scale neutrino telescope Baikal-GVD is currently under construction in Lake Baikal. The detector is specially designed for search for high energies neutrinos whose sources are not yet reliably identified. Since April 2018 the telescope has been successfully operated in complex of three functionally independent clusters i.e. sub-arrays of optical modules (OMs) where now are hosted 864 OMs on 24 vertical strings. Each cluster is connected to shore by individual electro-optical cables. The effective volume of the detector for neutrino initiated cascades of relativistic particles with energy above 100 TeV has been increased up to about 0.15 km3. Preliminary results obtained with data recorded in 2016 and 2017 are discussed.

Dynamic and Positioning Performances of Linear Electromechanical Actuator

2015 ◽  
Vol 809-810 ◽  
pp. 682-687
Author(s):  
Vasile Nasui ◽  
Mihai Banica ◽  
Dinu Darabă
Keyword(s):  
Dynamic Characteristics ◽  
Practical Importance ◽  
Correct Identification ◽  
Positioning System ◽  
Positioning Error ◽  
Servo Motor ◽  
Positioning Accuracy ◽  
Electromechanical Actuator ◽  
Initial Errors ◽  
Selection For

This paper presents the dynamic characteristics and the proposed positioning performance of the system to them investigated experimentally. In this research, we developed the positioning system and we evaluated positioning accuracy. The developed system uses a servo motor for motion actuation. In this paper, we focused on studying the dependency of the positioning error – elementary errors – the position of the conducting element for the mechanism of the transformation of the rotation translation movement, representatively the mechanism screw – screwdriver and on emphasizing the practical consequences in the field of design, regulation and exploitation of the correct identification of all the initial errors in the structure of the mechanism, their character and the selection for an ultimate calculus of these which are of a real practical importance.

scholarly journals Research on Spatial Positioning System of Fruits to be Picked in Field Based on Binocular Vision and SSD Model

2021 ◽  
Vol 1748 ◽  
pp. 042011
Author(s):  
Xing Zhang ◽  
Qiaoming Gao ◽  
Dong Pan ◽  
Peng Cheng Cao ◽  
Dong Hui Huang
Keyword(s):  
Binocular Vision ◽  
Positioning System ◽  
Spatial Positioning

scholarly journals Improved Visible Light-Based Indoor Positioning System Using Machine Learning Classification and Regression

2019 ◽  
Vol 9 (6) ◽  
pp. 1048 ◽  
Author(s):  
Huy Tran ◽  
Cheolkeun Ha
Keyword(s):  
Machine Learning ◽  
Visible Light ◽  
Noise Reduction ◽  
Indoor Positioning ◽  
Computational Time ◽  
Dual Function ◽  
Positioning System ◽  
Positioning Accuracy ◽  
Positioning Systems ◽  
Machine Learning Classification

Recently, indoor positioning systems have attracted a great deal of research attention, as they have a variety of applications in the fields of science and industry. In this study, we propose an innovative and easily implemented solution for indoor positioning. The solution is based on an indoor visible light positioning system and dual-function machine learning (ML) algorithms. Our solution increases positioning accuracy under the negative effect of multipath reflections and decreases the computational time for ML algorithms. Initially, we perform a noise reduction process to eliminate low-intensity reflective signals and minimize noise. Then, we divide the floor of the room into two separate areas using the ML classification function. This significantly reduces the computational time and partially improves the positioning accuracy of our system. Finally, the regression function of those ML algorithms is applied to predict the location of the optical receiver. By using extensive computer simulations, we have demonstrated that the execution time required by certain dual-function algorithms to determine indoor positioning is decreased after area division and noise reduction have been applied. In the best case, the proposed solution took 78.26% less time and provided a 52.55% improvement in positioning accuracy.

scholarly journals An Ultra-Short Baseline Underwater Positioning System with Kalman Filtering

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 143
Author(s):  
Qinghua Luo ◽  
Xiaozhen Yan ◽  
Chunyu Ju ◽  
Yunsai Chen ◽  
Zhenhua Luo
Keyword(s):  
Phase Difference ◽  
Kalman Filtering ◽  
Negative Impact ◽  
Minimum Mean Square Error ◽  
Acoustic Signals ◽  
Positioning System ◽  
Short Baseline ◽  
Positioning Accuracy ◽  
Wrong Decision ◽  
Underwater Positioning

The ultra-short baseline underwater positioning is one of the most widely applied methods in underwater positioning and navigation due to its simplicity, efficiency, low cost, and accuracy. However, there exists environmental noise, which has negative impacts on the positioning accuracy during the ultra-short baseline (USBL) positioning process, which results in a large positioning error. The positioning result may lead to wrong decision-making in the latter processing. So, it is necessary to consider the error sources, and take effective measurements to minimize the negative impact of the noise. In our work, we propose a USBL positioning system with Kalman filtering to improve the positioning accuracy. In this system, we first explore a new kind of element array to accurately capture the acoustic signals from the object. We then organically combine the Kalman filters with the array elements to filter the acoustic signals, using the minimum mean-square error rule to obtain accurate acoustic signals. We got the high-precision phase difference information based on the non-equidistant quaternary original array and the phase difference acquisition mechanism. Finally, on account of the obtained accurate phase difference information and position calculation, we determined the coordinates of the underwater target. Comprehensive evaluation results demonstrate that our proposed USBL positioning method based on the Kalman filter algorithm can effectively enhance the positioning accuracy.

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