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GÖTTHANS, J. GÖTTHANS, T. NOVÁK, D.
Original Title
Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
TDOA; radar; autoencoder; neural network; deep neural network; jamming; correlation method
Authors
GÖTTHANS, J.; GÖTTHANS, T.; NOVÁK, D.
Released
23. 3. 2023
Publisher
MDPI
Location
BASEL
ISBN
1424-8220
Periodical
SENSORS
Year of study
23
Number
6
State
Swiss Confederation
Pages from
1
Pages to
21
Pages count
URL
https://www.mdpi.com/1424-8220/23/6/2889
BibTex
@article{BUT184348, author="Jakub {Götthans} and Tomáš {Götthans} and David {Novák}", title="Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing", journal="SENSORS", year="2023", volume="23", number="6", pages="1--21", doi="10.3390/s23062889", issn="1424-8220", url="https://www.mdpi.com/1424-8220/23/6/2889" }