Interference Mitigation for GPS Navigation using Multi-Layer Neural Network

Document Type : Persian Original Article

Authors

Department of Electrical Engineering, Iran University of Science and Technology

Abstract

In recent years, GPS has attracted the attention of many users in the industrial, military and
commercial fields due to its accurate time and position information. Because the received signal power on
the earth surface is lower than the thermal noise level, it can seriously subject to intentional or unintentional
interferences. Intentional interference is known as ‘jamming’. Although the GPS spread-spectrum signal
structure has some inherent jam protection, when a hostile jammer want to disturb a GPS system need only
send out a jamming signal with enough power and suitable time/frequency properties to deny the use of GPS.
Using Neural Networks (NNs) is a non-linear filtering approach for tracking and canceling interference. In
this paper, we investigate one of the NNs structures (multi-layer perceptron) and the possibility of
interference elimination using this network. Finally, the proposed method will be compared with one of
wavelet structures. It can be seen that the proposed algorithm identifies more than four satellites for solving
the navigation equations. In addition, it is robust against the increment of jammer power (from 25dB to
50dB) and improves the similarity of predicted signal to the real one about 45% in comparison with the
wavelet structure.

Keywords

Journal of Soft Computing and Information Technology
Volume 4, Issue 3 - Serial Number 3
January 2018
Pages 94-102

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