Determining the coordinates of objects detected by a 1Tx + 4Rx antenna system using an artificial neural network; free space case-Reference-Cited by-同舟云学术

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Determining the coordinates of objects detected by a 1Tx + 4Rx antenna system using an artificial neural network; free space case

Published:2021-12-01 Issue: Volume: Page:
ISSN:
Container-title:2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
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Author:

Plakhtii Vadym¹,Pochanin Gennadiy²,Falorni Pierluigi³,Ruban Vadym²,Bechtel Timothy⁴,Bossi Luca³

Affiliation:

1. V.N. Karazin Kharkiv National University,Biomedical Electronics, and Computer Systems,School of Radio Physics,Kharkiv,Ukraine

2. O.Ya.Usikov Institute for Radiophysics and Electronics of NAS of Ukraine,Department of Radiophysical Introscopy,Kharkiv,Ukraine

3. Università degli Studi di Firenze,Department of Information Engineering,Florence,Italy

4. Franklin & Marshall College,Dept. of Earth & Environment,Lancaster,PA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842861/9843139/09843155.pdf?arnumber=9843155

Reference12 articles.

1. A New Learning Method for Continuous Hidden Markov Models for Subsurface Landmine Detection in Ground Penetrating Radar

2. Landmine detection with ground penetrating radar using hidden Markov models

3. Background Removal for the Processing of Scans Acquired with the, “UGO-1st”, Landmine Detection Platform

4. The Detection of Buried Pipes From Time-of-Flight Radar Data

5. Design and simulation of a “single transmitter - four receiver” impulse GPR for detection of buried landmines

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