GPS Swept Anti-Jamming Technique Based on Fast Orthogonal Search (FOS)

Recently, there has been growing demand for GPS-based reliable positioning, with the broadening of a range of new applications that mainly rely on GPS. GPS receivers have, recently, been attractive targets for jamming. GPS signals are received below the noise floor. Thus, they are vulnerable to interference and jamming. A jamming signal can potentially decrease the SNR, which results in disruption of GPS-based services. This paper aims to propose a reliable and accurate, swept anti-jamming technique based on high-resolution spectral analysis, utilizing the FOS method to provide an accurate spectral estimation of the GPS swept jamming signal. resulting in suppressing the jamming signal efficiently at the signal processing stages in the GPS receiver. Experiments in this research are conducted using the SpirentTM GSS6700 simulation system to create a fully controlled environment to test and validate the developed method’s performance. The results demonstrated the proposed method’s capabilities to detect, estimate, and adequately suppress the GPS swept jamming signals. After the proposed anti-jamming module was employed, the software receiver was able to provide a continuous positioning solution during the presence of jamming within a 10 m positioning accuracy.

[1]  Michael J. Korenberg,et al.  Applications of fast orthogonal search: Time-series analysis and resolution of signals in noise , 2006, Annals of Biomedical Engineering.

[2]  Ian W. Hunter,et al.  Raman Spectral Estimation via Fast Orthogonal Search , 1997 .

[3]  M. Korenberg,et al.  Fast orthogonal search for array processing and spectrum estimation , 1994 .

[4]  Gérard Lachapelle,et al.  Testing GPS L5 Acquisition and Tracking Algorithms Using a Hardware Simulator , 2006 .

[5]  M. Korenberg Identifying nonlinear difference equation and functional expansion representations: The fast orthogonal algorithm , 2006, Annals of Biomedical Engineering.

[6]  Ki H. Chon Accurate identification of periodic oscillations buried in white or colored noise using fast orthogonal search , 2001, IEEE Transactions on Biomedical Engineering.

[7]  M. J. Korenberg,et al.  A robust orthogonal algorithm for system identification and time-series analysis , 1989, Biological Cybernetics.

[8]  Aboelmagd Noureldin,et al.  Enhanced GPS narrowband jamming detection using high-resolution spectral estimation , 2017, GPS Solutions.

[9]  Aboelmagd Noureldin,et al.  Robust fine acquisition algorithm for GPS receiver with limited resources , 2015, GPS Solutions.

[10]  Fabio Dovis,et al.  Impact and Detection of GNSS Jammers on Consumer Grade Satellite Navigation Receivers , 2016, Proceedings of the IEEE.

[11]  Jinling Wang,et al.  Optimization of GPS L1 acquisition using Radix-4 FFT , 2011, 2011 International Conference on Recent Trends in Information Technology (ICRTIT).

[12]  Emmanuel Ifeachor,et al.  Digital Signal Processing: A Practical Approach , 1993 .

[13]  Mohamed Tamazin,et al.  HIGH RESOLUTION SIGNAL PROCESSING TECHNIQUES FOR ENHANCING GPS RECEIVER PERFORMANCE , 2015 .

[14]  Mingquan Lu,et al.  Protecting GNSS Receivers From Jamming and Interference , 2016, Proceedings of the IEEE.

[15]  Abdalla Osman,et al.  Improved target detection and bearing estimation utilizing fast orthogonal search for real-time spectral analysis , 2009 .

[16]  Michael J. Marcus Growing consumer interest in jamming: spectrum policy implications [Spectrum Policy and Regulatory Issues] , 2014, IEEE Wireless Communications.