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An Integrated Pulsed Interference Mitigation for GNSS Receivers

Published online by Cambridge University Press:  25 March 2008

Esther Anyaegbu ,
Gary Brodin ,
John Cooper ,
Enrique Aguado  and
Said Boussakta
Esther Anyaegbu*
Affiliation:
(The University of Leeds)
Gary Brodin
Affiliation:
(The University of Leeds)
John Cooper
Affiliation:
(The University of Leeds)
Enrique Aguado
Affiliation:
(The University of Leeds)
Said Boussakta
Affiliation:
(The University of Leeds)
*
(Email: Esther.Anyaegbu@glonavgps.com)
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Abstract

The E5/L5 frequency band for the new Global Navigation Satellite System (GNSS) signals is crowded with aeronautical pulsed emitters. This results in severe degradation of the performance of GNSS receivers. This paper describes a novel technique for estimating and suppressing time-varying pulsed interference signals such as the Distance Measuring Equipment (DME)/Tactical Air Navigation (TACAN) signals generated by these pulsed emitters. The proposed technique involves the integration of the time-based pulse blanker and the wavelet-based interference mitigation technique. Aviation is the key application considered although many other applications such as transport management and navigation, environmental monitoring, and telecommunications would benefit. A performance assessment of the new technique is carried out by determining the degradation of the carrier-to-noise ratio (CNR) at the output of the correlator. The performance of the new technique is compared with the traditional time domain pulse blanking approach. The results show that the proposed technique performs better than both the time domain pulse blanker and the wavelet-based interference mitigation algorithm. Hence, the integrated pulse mitigation approach can be employed to provide an enhanced degree of interference detection and suppression.

Keywords

GNSSWavelets
Type
Research Article
Information
The Journal of Navigation , Volume 61 , Issue 2 , April 2008 , pp. 239 - 255
Copyright
Copyright © The Royal Institute of Navigation 2008

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References

REFERENCES

Anyaegbu, E., Brodin, G., Cooper, J., Boussakta, S. (2005). Wavelet-based Interference Detection and Suppression (WIDS) Algorithm for Next Generation GNSS receivers. Proceedings of the ENC-GNSS Conference, MunichGoogle Scholar
Bastide, F., Chatre, E., Macabiau, C. and Roturier, B. (2004). GPS L5 and Galileo E5a/E5b Signal-to-Noise Density Ratio Degradation due to DME/TACAN Signals: Simulations and Theoretical Derivation. Proceedings of ION National Technical Meeting, San Diego, CA.Google Scholar
Betz, J. W. (2000). Effect of Narrowband Interference on GPS Code Tracking Accuracy. Proceedings of the ION National Technical Meeting, Anaheim, CAGoogle Scholar
Boggess, A. and Narcowich, F. J. (2001) A First Course in Wavelets with Fourier Analysis. Prentice Hall, Inc.Google Scholar
Burrus, C. S., Gopinath, R. A. and Guo, H. (1998) Introduction to Wavelets and Wavelet Transforms: A Primer. Prentice Hall, IncGoogle Scholar
Gebre-Egziabher, D., Lo, S., Powell, D., and Enge, P. (1999). Global Supplemental Navigation Systems for Use During the Transition to Sole-Means-GPS National Airspace Systems. Proceedings of ION National Technical Meeting, San Oregon, CA.Google Scholar
Grabowski, J. and Hegarty, C. (2002). Characterization of L5 Receiver Performance Using Digital Pulse Blanking. Proceedings of the ION GPS-2002, Portland, OR.Google Scholar
Hegarty, C. (1997a). Analytical Derivation of Maximum Tolerable In-band Interference Levels for Aviation Applications of GNSS. Navigation Journal of the Institute of Navigation, 44, 25–33.CrossRefGoogle Scholar
Hegarty, C. (1997b). Methodology for Determining Compatibility of GPS L5 with Existing Systems and Preliminary Results. Proceedings of the ION GPS-1997, Cambridge Massachusetts.Google Scholar
ITU (Radio Communication Study Groups), (2004) Compatibility of Systems using UWB Technology with Systems operating within the Radio Communication Services.Google Scholar
Keppel, G. and Zedeck, S., (1989) Data Analysis for Research Designs: Analysis of variance and multiple Regression/Correlation Approaches W. H. Freeman & Co.Google Scholar
Khoury, J. M., (1997). Fixed Time Constant AGC Circuits. IEEE International Symposium on Circuits and Systems, Hong Kong.Google Scholar
Krongold, B. S; Kramer, M. L., Ramchandran, K. and Jones, D. L. (1997) Spread Spectrum Interference Suppression using Adaptive Time-Frequency Tiling. IEEE International Conference, Munich Germany.Google Scholar
Lo, S., Chen, A., Enge, P., Gao, G., Akos, D., Issler, J., Ries, L., Grelier, T. and Dantepal, J. (2006) GNSS Album: Images and Spectral Signatures of the new GNSS Signals. Inside GNSSGoogle Scholar
Nassar, S. and El-Sheimy, N. (2005). Wavelet Analysis for Improving INS and INS/DGPS Navigation Accuracy. Journal of Navigation, 58, 119–134.Google Scholar
Powe, M. and Owen, J. I. R. (2004). The European GNSS L5/E5 Interference Environment and the Performance of Pulsed Interference Mitigation Techniques. Proceedings of the ION GPS-2004, Long Beach, CA.Google Scholar
Walker, J. S., (1999) A Primer on Wavelets and their Scientific Application. Chapman & Hall/CRCGoogle Scholar
Zhang, Y. and Bartone, C. (2004). Real-time Multipath Mitigation with WaveSmoothTM Technique using Wavelets. Proceedings of the ION GPS-2004, Long Beach, CA.Google Scholar