Increasing the anti-electronic warfare capability of multiple-input-multiple-output frequency multiplex radars by assigning random frequencies to array elements

Document Type : Original Article

Authors

1 Master student, Shahid Sattari University of Aeronautical Sciences and Technology, Tehran, Iran

2 Assistant Professor, Shahid Sattari University of Aviation Sciences and Technology, Tehran, Iran

Abstract

The radar design, using the FDA technique, basically resists the well-known ECM methods and increases the power of the ECCM. In this research, ECCM techniques are first discussed. The following is a history of the subject, and it is examined that what are the advantages of phased array radars and frequency arrays and the reason for going to the FDA radars is that the radar is dependent on the distance, in addition to its dependence on the angle. In order to improve the idea of using FDA radars, the FDA-MIMO radars were discussed and according to the modeling and simulation results, it was found that the level of the side lobes in FDA-MIMO method decreased (close to 20 dB) compared with the FDA method, and this advantage means that the arrival of disturbing signals from the angles of side lobes is significantly weakened. On the other hand, as a second advantage, the main beam is sharper than the FDA radar (in the FDA radar, the main beam width is about 11 degrees while in the MIMO-FDA is about 4 degrees). The main idea of this thesis is to use the frequency variation of each element in comparison to the previous element in a randomized manner in the FDA-MIMO method. The results show that the proposed method is sharper than the FDA and linear MIMO-FDA method (about 2.5 degrees), in fact, the accuracy of the resolution of the targets has increased and as a second advantage, it has a lower side lobes level (about 20dB below the linear state).

Keywords


Smiley face

[1] S.B. Jafari, M. Bayat, and K. Rashidi, “Electronic defense and attack”, Aja Air Defense Academy Press, vol. 1, 2012, (In Persian)
[2] Q. Wu, Y. Cheng, X. Li, H. Wang, and Y. Qin, Y, “Beam synthesis and target detection based on aperture coding metasurface” In Progress in Electromagnetics Research Symposium-Fall (PIERS-FALL), pp. 2290-2298, 2017.
[3] C. Fulton, M. Yeary, D. Thompson, J. Lake, and A. Mitchell, “Digital phased arrays: Challenges and opportunities” Proceedings of the IEEE, vol. 104, no. 3, 487-503, 2016.
[4] F. Neri, “Introduction to electronic defense systems”. SciTech Publishing, 2006.
[5] Z. Wang, Y. Wang, K. Duan, W. Xie, “Subspace-augmented clutter suppression technique for STAP radar” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 3, pp. 462-466, 2016.
[6] W.Q. Wang, H. Shao, J. Cai, “Range-angle-dependent beamforming by frequency diverse array antenna” International journal of antennas and propagation, 10 pages, 2012.
[7] L. Lan, G. Liao, J. Xu, Y. Zhang, and F. Fioranelli, “Suppression Approach to Main-Beam Deceptive Jamming in MIMO Radar Using Nonhomogeneous Sample Detection” IEEE Access, vol. 6, pp. 34582-34597, 2018.
[8] Y. Zhao, F. Gini, M. Greco, and B. Tang, “Radar based on phase-aid distributed compressive sensing” Signal, Image and Video Processing, vol. 12, no. 8, pp.1497-1504, 2018.
[9] Y. Liu, L. Xiao, X. Wang, and A. Nehorai, “On Clutter Ranks of Frequency Diverse Radar Waveforms” arXiv preprint arXiv:1603.08189, 2016.
[10] A. Abdalla, W.Q. Wang, Z. Yuan, S. Mohamed, T. Bin, “Subarray-based radar to counteract deceptive signals” EURASIP Journal on Advances in Signal Processing, vol. 2016, no. 1, 2016.
[11] A. Farina, and L. Timmoneri, “Live data test of Electronic Counter Counter Measures on a multifunctional prototype radar” In Metrology for Aerospace (MetroAeroSpace), pp. 1-5, 2016.
[12] T. Bin, Z. Yuan, C. Tianyi, R. Zhi, T. Juan, and X. Ying, “Advances and Perspectives in Radar Techniques of Active Jamming” Journal of Data Acquisition and Processing, vol. 4, 001, 2016.
[13] A. Abdalla, Z. Yuan, M. Ramadan, and T. Bin, “An improved radar method based on orthogonal pulse block and Parallel matching filter. Journal of Communications, vol. 10, no. 8, pp. 610-614., 2015.
[14] J. Xu, G. Liao, S. Zhu, and H.C. So, “Deceptive jamming suppression with frequency diverse MIMO radar. Signal Processing, vol. 113, pp. 9-17, 2015.
[15] Z. Yuan, S.N. Longdon, J.C. Bore, and T. Bin, “A study of techniques and their performance” In IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1-6, 2015.
[16] A. Abdalla, H. Abdalla, M. Ramadan, S. Mohamed, T. Bin, T, “Overview of frequency diverse array in radar ECCM applications” In International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), pp. 1-9, 2017.
[17] W.Q. Wang, “Frequency diverse array antenna: new opportunities” IEEE Antennas and Propagation Magazine, vol. 57, no. 2, 145-152, 2015.
[18] A. Hassanien, S.A. Vorobyov, “Phased-MIMO radar: A tradeoff between phased-array and MIMO radars,” IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 3137-3151, 2010.
[19] W.Q. Wang “Phased-MIMO radar with frequency diversity for range-dependent beamforming,” IEEE Sensors journal, vol. 13, no. 4, pp. 1320-1328, 2013.
[20] P. Antonik, M.C. Wicks, H.D. Griffiths, C. J. Baker, “Frequency diverse array radars,” IEEE Conference on Radar, 2006.
[21] P. Antonik, M.C. Wicks, H.D. Griffiths, and C.J. Baker, “Range-dependent beamforming using element level waveform diversity. In International Waveform Diversity & Design Conference, pp. 1-6, 2006.
[22] P.F. Sammartino, C.J. Baker, and H.D. Griffiths, “Frequency diverse MIMO techniques for radar” IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 1, pp. 201-222, 2013.
[23] W.Q. Wang, “Mitigating range ambiguities in high-PRF SAR with OFDM waveform diversity” IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 1, pp. 101-105, 2013.
[24] Y. Wang, W.Q. Wang, and H. Chen, “Linear frequency diverse array manifold geometry and ambiguity analysis” IEEE Sensors Journal, vol. 15, no. 2, pp. 984-993, 2015.
[25] A. Hassanien, S.A. Vorobyov, “Phased-MIMO radar: A tradeoff between phased-array and MIMO radars,” IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 3137-3151, 2010.
[26] Y. Zhu, W. Yu, H. Sun, K. Li, and J. Luo, “Analysis of Key Technologies and Performances of Fire-Control Radar of Low Probability of Intercept” In International Conference on Man-Machine-Environment System Engineering, pp. 201-208, 2018.
[27] D. Cristallini, and I. Walterscheid, “Joint Monostatic and Bistatic STAP for improved SAR-GMTI capabilities” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 3, pp. 1834-1848, 2015.
Volume 10, Issue 2 - Serial Number 28
Number 28, Autumn and Winter Quarterly
January 2023
  • Receive Date: 05 September 2022
  • Revise Date: 11 December 2023
  • Accept Date: 05 January 2023
  • Publish Date: 21 January 2023