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Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing
This paper presents a method for estimating the position of a target under jammed conditions using the Time Difference of Arrival (TDOA) method. The algorithm utilizes a deep neural network to overcome the challenges posed by the jammed conditions. The simulations and results indicate that the prese...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054461/ https://www.ncbi.nlm.nih.gov/pubmed/36991599 http://dx.doi.org/10.3390/s23062889 |
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author | Gotthans, Jakub Gotthans, Tomas Novak, David |
author_facet | Gotthans, Jakub Gotthans, Tomas Novak, David |
author_sort | Gotthans, Jakub |
collection | PubMed |
description | This paper presents a method for estimating the position of a target under jammed conditions using the Time Difference of Arrival (TDOA) method. The algorithm utilizes a deep neural network to overcome the challenges posed by the jammed conditions. The simulations and results indicate that the presented method is more accurate and efficient than the traditional TDOA methods. |
format | Online Article Text |
id | pubmed-10054461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100544612023-03-30 Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing Gotthans, Jakub Gotthans, Tomas Novak, David Sensors (Basel) Article This paper presents a method for estimating the position of a target under jammed conditions using the Time Difference of Arrival (TDOA) method. The algorithm utilizes a deep neural network to overcome the challenges posed by the jammed conditions. The simulations and results indicate that the presented method is more accurate and efficient than the traditional TDOA methods. MDPI 2023-03-07 /pmc/articles/PMC10054461/ /pubmed/36991599 http://dx.doi.org/10.3390/s23062889 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gotthans, Jakub Gotthans, Tomas Novak, David Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing |
title | Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing |
title_full | Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing |
title_fullStr | Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing |
title_full_unstemmed | Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing |
title_short | Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing |
title_sort | improving tdoa radar performance in jammed areas through neural network-based signal processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054461/ https://www.ncbi.nlm.nih.gov/pubmed/36991599 http://dx.doi.org/10.3390/s23062889 |
work_keys_str_mv | AT gotthansjakub improvingtdoaradarperformanceinjammedareasthroughneuralnetworkbasedsignalprocessing AT gotthanstomas improvingtdoaradarperformanceinjammedareasthroughneuralnetworkbasedsignalprocessing AT novakdavid improvingtdoaradarperformanceinjammedareasthroughneuralnetworkbasedsignalprocessing |