Jammer Identification: Spectral Correlation Function and Wavelet Coherence
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Jamming countermeasures are used to decrease or prevent the impact of intentional jamming applied to degrade the quality of information provided by a global navigation satellite system (GNSS) receiver. The maximum performance of jamming countermeasure can be obtained only when a proper technique is applied according to the type of jammer. This paper suggests a jamming identification technique for providing information regarding the type of jamming. The center frequency and bandwidth of jammer signal are inconsistent and may change according to time, and thus a spectral correlation function and wavelet coherence were considered in order to analyze the signal in the time and frequency space. Because the two characteristics derive different analysis results, two different identification techniques were suggested and the performances thereof were analyzed. Numerical results show that the two identification techniques have relative advantages and disadvantages as to time consumed and performance. The suggested methods can sufficiently identify the jammer before the GNSS receiver becomes inoperable because of jamming.
Abstract
Jamming countermeasures are used to decrease or prevent the impact of intentional jamming applied to degrade the quality of information provided by a global navigation satellite system (GNSS) receiver. The maximum performance of jamming countermeasure can be obtained only when a proper technique is applied according to the type of jammer. This paper suggests a jamming identification technique for providing information regarding the type of jamming. The center frequency and bandwidth of jammer signal are inconsistent and may change according to time, and thus a spectral correlation function and wavelet coherence were considered in order to analyze the signal in the time and frequency space. Because the two characteristics derive different analysis results, two different identification techniques were suggested and the performances thereof were analyzed. Numerical results show that the two identification techniques have relative advantages and disadvantages as to time consumed and performance. The suggested methods can sufficiently identify the jammer before the GNSS receiver becomes inoperable because of jamming.
참고문헌 (13)
- Mario M. Casabona, "Discussion of GPS Anti-Jam Technology", GPS Solutions, 2(3), pp.18~23 (1999), Springer Nature[DOI]
- Application of Wavelet Transform Techniques to Spread Spectrum Demodulation and Jamming, "Cochran, D.", Arizona State University, ~, pp.Report TRC-DC-9302 (1993)
- William A. Gardner, "The spectral correlation theory of cyclostationary time-series", Signal Processing, 11(1), pp.13~36 (1986), Elsevier BV[DOI]
- A. Grinsted, "Application of the cross wavelet transform and wavelet coherence to geophysical time series", Nonlinear Processes in Geophysics, 11(5, pp.6) (2004), 561~566[DOI]
- I.J. Gupta, "Space-Frequency Adaptive Processing (SFAP) for Radio Frequency Interference Mitigation in Spread-Spectrum Receivers", IEEE Transactions on Antennas and Propagation, 52(6), pp.1611~1616 (2004), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Helal, H. G. A., "Jamming and Anti-Jamming Technique in Wireless Communication Systems", 35th National radio Science Conference (2018)
- Idris, A. N., "Effect of Radio Frequency Interference (RFI) on the Global Positioning System (GPS) Signals", 2013 IEEE 9th Int. Colloquium on Signal Processing and its Applications (2013)
- 진미현, "Jammer Identification Technique based on a Template Matching Method", Journal of Positioning, Navigation, and Timing, 3(2), pp.45~51 (2014), 사단법인 항법시스템학회[DOI]
- Lim, D. W., "Implementation of a Jammer Localization System Based on TDOA", AOA Algorithm, 2013, 406~410
- Musumeci, L., "Use of the Wavelet Transform for Interference Detection and Mitigation in Global Navigation Satellite Systems", International Journal of Navigation and Observation, pp.1~14 (2014)[DOI]
- Tapan Kumar Sarkar, "A deterministic least-squares approach to space-time adaptive processing (STAP)", IEEE Transactions on Antennas and Propagation, 49(1), pp.91~103 (2001), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- J. Smith, "Closed-form least-squares source location estimation from range-difference measurements", IEEE Transactions on Acoustics, Speech, and Signal Processing, 35(12), pp.1661~1669 (1987), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Christopher Torrence, "A Practical Guide to Wavelet Analysis", Bulletin of the American Meteorological Society, 79(1), pp.61~78 (1998), American Meteorological Society[DOI]