Electronic attack on radar systems using noise interference

  • Saeed Talati Faculty of Electronic Warfare Engineering, Shahid Sattari University of aeronautical Science and Technology
  • Pouria EtezadiFar Assistant Professor, Department of Electrical Engineering, Imam Hussein University (IHU), Tehran, Iran.
Keywords: Electronic Support, Electronic Warfare, Electronic attack, Radar

Abstract

Noise generation is both simple and very effective in disrupting radar performance. This noise signal, similar to thermal noise, raises the level of the background signal against the target signal and reduces the signal-to-noise ratio, so that the target signal, even if it has a good and strong reflection, will not be detectable. But it has the weakness that its location and direction can be easily detected by radar. In this article, we try to study the methods of interfering with the target radars using electronic attack techniques using electronic warfare and radar systems and compare these methods with each other and examine the advantages and disadvantages of each.

References

[1] Merrill I. Skolnik, “Introduction to Radar Systems’, Third Edition, McGraw-Hill Higher Education, 2001.
[2] GuoSui Liu, Hong Gu, WeiMin Su, HongBO Sun, “The Analysis and Design of Modern Low Probability of Intercept Radar”, 2001 CIE International Conference, Page(s): 120-124, 2001.
[3] Filippo Neri, “Introduction to Electronic Defense Systems", Second Edition, Artech House Publishers, 2001.
[4] Wayne Tomasi, “Electronic Communications Systems”,Forth Edition, Prentice Hall, Inc., 2001.
[5] Hashemi, Seyed Mohammad, Shahrokh Barati, Saeed Talati and Heshmat Noori. “A GENETIC ALGORITHM APPROACH TO OPTIMAL PLACEMENT OF SWITCHING AND PROTECTIVE EQUIPMENT ON A DISTRIBUTION NETWORK.” VOL. 11, NO. 3, FEBRUARY 2016.
[6] Sharifi-Tehrani, O., & Talati, S. (2017). PPU Adaptive LMS Algorithm, a Hardware-Efficient Approach; a Review on. Majlesi Journal of Mechatronic Systems, 6(1).
[7] Hashemi. Seyed Mohammad, Abyari. Mohammad, Barati. Shahrokh, Tahmasebi Sanaz, Talati, Saeed. “A PROPOSED METHOD TO CONTROLLER PARAMETER SOFT TUNING AS ACCOMMODATION FTC AFTER UNKNOWN INPUT OBSERVER.” ARPN Journal of Engineering and Applied Sciences VOL. 11, NO. 5, MARCH 2016.
[8] Talati, S., Rahmati, A., & Heidari, H. (2019). Investigating the Effect of Voltage Controlled Oscillator Delay on the Stability of Phase Lock Loops. Majlesi Journal of Telecommunication Devices, 8(2), 57-61.
[9] Saeed. Talati, Behzad. Ebadi, Houman. Akbarzade “Determining pf the fault location in distribution systems in presence of distributed generation resources using the original post phasors“QUID 2017, pp. 1806-1812, Special Issue No.1- ISSN: 1692-343X, Medellín-Colombia. April 2017
[10] Talati, S., & Hassani Ahangar, M. (2020). Analysis, Simulation and Optimization of LVQ Neural Network Algorithm and Comparison with SOM. Majlesi Journal of Telecommunication Devices, 9(1), 17-22.
[11] Talati, S., & Etezadifar, P. (2020). Providing an Optimal Way to Increase the Security of Data Transfer using Watermarking in Digital Audio Signals. Majlesi Journal of Telecommunication Devices, 9(1), 35-46.
[12] Aslinezhad, M., & Mahmudi, O, Talati, S. (2020). Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving. Majlesi Journal of Mechatronic Systems, 9(4).
[13] Talati, S., & Alavi, S. M. (2020). Radar Systems Deception using Cross-eye Technique. Majlesi Journal of Mechatronic Systems, 9(3), 19-21.
[14] Talati, S., & Amjadi, A. (2020). Design and Simulation of a Novel Photonic Crystal Fiber with a Low Dispersion Coefficient in the Terahertz Band. Majlesi Journal of Mechatronic Systems, 9(2), 23-28.
[15] Talati, S., & Hassani Ahangar, M. R. (2020). Combining Principal Component Analysis Methods and Self-Organized and Vector Learning Neural Networks for Radar Data. Majlesi Journal of Telecommunication Devices, 9(2), 65-69.
[16] Hassani Ahangar, M. R., Talati, S., Rahmati, A., & Heidari, H. (2020). The Use of Electronic Warfare and Information Signaling in Network-based Warfare. Majlesi Journal of Telecommunication Devices, 9(2), 93-97.
[17] O. Sharifi-Tehrani, "Novel hardware-efficient design of LMS-based adaptive FIR filter utilizing Finite State Machine and Block-RAM," Przeglad Elektrotechniczny, vol. 87, no. 7, pp. 240-244, 2011.
[18] O. Sharifi-Tehrani, M. F. Sabahi, and M. R. Danee, "GNSS Jamming Detection of UAV Ground Control Station Using Random Matrix Theory," ICT Express, vol. In Press, 2020.
[19] O. Sharifi-Tehrani, "Hardware Design of Image Channel Denoiser for FPGA Embedded Systems," Przegląd Elektrotechniczny, vol. 88, no. 3b, pp. 165-167, 2012.
[20] O. Sharifi-Tehrani, A. Sadeghi, and S. M. J. Razavi, "Design and Simulation of IFF/ATC Antenna for Unmanned Aerial Vehicle," Majlesi Journal of Mechatronic Systems, vol. 6, no. 1, pp. 1-4, 2017.
[21] O. Sharifi-Tehrani, M. F. Sabahi, and M. R. Danee, "Low-Complexity Framework for GNSS Jamming and Spoofing Detection on Moving Platforms," IET Radar, Sonar & Navigation, vol. 14, no. 12, pp. 2027-2038, 2020.
[22] O. S. Tehrani, M. Ashourian, and P. Moallem, "An FPGA-based implementation of fixed-point standard-LMS algorithm with low resource utilization and fast convergence," International Review on Computers and Software, vol. 5, no. 4, pp. 436-444, 2010.
[23] O. Sharifi-Tehrani, "Design, Simulation and Fabrication of Microstrip Hairpin and Interdigital BPF for 2.25 GHz Unlicensed Band," Majlesi Journal of Telecommunication Devices, vol. 6, no. 4, 2017.
Published
2021-05-08
How to Cite
Talati, S., & EtezadiFar, P. (2021). Electronic attack on radar systems using noise interference. Majlesi Journal of Mechatronic Systems, 10(3). Retrieved from http://journals.iaumajlesi.ac.ir/ms/index/index.php/ms/article/view/489
Section
Articles