Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing

Sensors (Basel). 2023 Mar 7;23(6):2889. doi: 10.3390/s23062889.

Authors

Jakub Gotthans¹, Tomas Gotthans¹, David Novak²

Affiliations

¹ Department of Radio Electronics, Brno University of Technology, 61600 Brno, Czech Republic.
² Department of Communication Technologies, Electronic Warfare and Radiolocation, University of Defense, 66210 Brno, Czech Republic.

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; autoencoder; correlation method; deep neural network; jamming; neural network; radar.

Grants and funding

This research received no external funding.