Vol. 77
Latest Volume
All Volumes
PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2019-01-08
Jamming Method Based on Optimal Power Difference for LMS-GPS Receiver
By
Progress In Electromagnetics Research M, Vol. 77, 167-175, 2019
Abstract
Jamming and anti-jamming techniques for global position systems (GPS) play important roles in electronic countermeasure. Least mean square (LMS)-based anti-jamming algorithm is widely used in GPS receivers, since it can avoid matrix inversion and has low complexity. For convenience, we call them LMS-GPS receivers. To improve the anti-jamming performance of the LMS-GPS receivers, it is very meaningful to study the jamming technique. Considering that existing jamming signals are easily suppressed by LMS-GPS receivers, a new jamming method named as optimal power difference jamming is proposed in this paper to improve the jamming effect further. Specifically, the analytical relationship between jamming-to-signal ratio (JSR) and the power difference of two interference signals is firstly given. Then, the conclusion that there is always an optimal power difference where the JSR can take the extreme value is drawn. Finally, the optimal power difference is derived as about 22 dB for single-tone interference and 29 dB for band-limited Gaussian noise interference. Simulation results show that the proposed method with optimal power difference is able to improve the JSR remarkably.
Citation
Fulai Liu, Yadong Wang, Ling Yue, Xiaodong Kan, and Hui Song, "Jamming Method Based on Optimal Power Difference for LMS-GPS Receiver," Progress In Electromagnetics Research M, Vol. 77, 167-175, 2019.
doi:10.2528/PIERM18111301
References

1. Pinker, A. and C. Smith, "Vulnerability of the GPS Signal to Jamming," GPS Solutions, Vol. 3, No. 2, 19-27, 1999.
doi:10.1007/PL00012788

2. Kamatham, Y., B. Kinnara, and M. K. Kartan, "Mitigation of GPS multipath using affine combination of two LMS adaptive filters," IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, Vol. 35, 1-4, 2015.

3. Ahmad, Z., M. Tahir, and I. Ali, "Analysis of beamforming algorithms for antijams," 2013 XVIIIth International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 89-96, 2013.

4. Chan, S. C. and Y. Zhou, "Improved generalized-proportionate stepsize LMS algorithms and performance analysis," IEEE International Symposium on Circuits and Systems, 2325-2328, 2006.

5. Gardner, W., "Nonstationary learning characteristics of the LMS algorithm," IEEE Transactions on Circuits and Systems, Vol. 34, No. 10, 1199-1207, 2003.
doi:10.1109/TCS.1987.1086054

6. Luo, H., "Accurate analysis of processing gain in direct sequence spread spectrum communication systems under single-tone and narrowband interference," Telecommunication Engineering, 2014.

7. Pazaitis, D. I. and A. G. Constantinides, "A novel kurtosis driven variable step-size adaptive algorithm," IEEE Transactions on Signal Processing, Vol. 47, No. 3, 864-872, 1999.
doi:10.1109/78.747793

8. Duttweiler, D. L., "Proportionate normalized least-mean-squares adaptation in echo cancelers," IEEE Transactions on Speech and Audio Processing, Vol. 8, No. 5, 508-518, 2002.
doi:10.1109/89.861368

9. Ye, F., H. Tian, and F. Che, "CW interference effects on the performance of GPS receivers," 2017 Progress In Electromagnetics Research Symposium - Fall (PIERS - FALL), 66-72, 2017.
doi:10.1109/PIERS-FALL.2017.8293112

10. Mao, Y. and C. Guo, "Analysis of interference effect on signal acquisition and tracking of GPS receiver," IEEE International Conference on Communication Problem-Solving, 592-595, 2014.

11. Balaei, A. T., A. G. Dempster, and L. L. Presti, "Characterization of the effects of CW and pulse CW interference on the GPS signal quality," IEEE Transactions on Aerospace and Electronic Systems, Vol. 45, No. 4, 1418-1431, 2009.
doi:10.1109/TAES.2009.5310308

12. Betz, J. W. and K. R. Kolodziejski, "Generalized theory of code tracking with an early-late discriminator Part II: Noncoherent processing and numerical results," IEEE Transactions on Aerospace and Electronic Systems, Vol. 45, No. 4, 1557-1564, 2009.
doi:10.1109/TAES.2009.5310317

13. Liu, F., R. Du, and X. Bai, "A virtual space-time adaptive beamforming method for space-time antijamming," Progress In Electromagnetics Research M, Vol. 58, 183-191, 2017.
doi:10.2528/PIERM17050304

14. Turan, C., M. S. Salman, and A. Eleyan, "A new variable step-size block LMS algorithm for a non-stationary sparse systems," International Conference on Electronics Computer and Computation, 1-4, 2016.