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.
Shafiee, F., Mosavi, S. M. R., & Abedi, A. A. (2015). Interference Mitigation for GPS Navigation using Multi-Layer Neural Network. Journal of Soft Computing and Information Technology, 4(3), 94-102.
MLA
Fatemeh Shafiee; Seyed Mohammad Reza Mosavi; Ali Asghar Abedi. "Interference Mitigation for GPS Navigation using Multi-Layer Neural Network". Journal of Soft Computing and Information Technology, 4, 3, 2015, 94-102.
HARVARD
Shafiee, F., Mosavi, S. M. R., Abedi, A. A. (2015). 'Interference Mitigation for GPS Navigation using Multi-Layer Neural Network', Journal of Soft Computing and Information Technology, 4(3), pp. 94-102.
VANCOUVER
Shafiee, F., Mosavi, S. M. R., Abedi, A. A. Interference Mitigation for GPS Navigation using Multi-Layer Neural Network. Journal of Soft Computing and Information Technology, 2015; 4(3): 94-102.