The Game Theory Modeling of the Conflict between the Jammer Set, and the ARM Missile with the Search Radar Set and the Missile Equipped with HOJ to Find the Best Response of the Parties
الموضوعات : Majlesi Journal of Telecommunication DevicesHouman Akbarzade 1 , Seyed Mohammad Alavi 2 , Yaser Norouzi 3
1 - PhD Student, Faculty of Electronic Warfare Engineering, Imam Hussein University
2 - Associate Professor, Imam Hossein University
3 - Assistant Professor, Department of Electrical Engineering, AmirKabir University (Polytechnique), Tehran, Iran
الکلمات المفتاحية: Electronic Warfare, Game Theory, radar,
ملخص المقالة :
One of the points that can be deduced from the study of common methods and techniques in electronic warfare is that none of these methods is considered absolute winners and the holder can’t consider himself the undisputed winner of this field because there is more or less the opposite of every technique. Using a method or tool in a situation can be very effective, but it becomes a weakness when a competitor changes the method or tool. Therefore, in this battle, the correct and timely use of any technique and with full knowledge of the opponent and in accordance with the actions performed by him can be considered a factor of success and use all useful tools in this field. One of the useful tools in the field of strategic decision analysis is the game theory. With the help of this mathematical tool, the decision-making process between two or more decision-makers can be examined and the results can be analyzed. It is also possible to observe the effect of various parameters involved in the result of the problem and plan the result in the desired direction. In this paper, the selection of the best response in different stages of the conflict to solve different problems has been achieved. The main purpose is to provide a new approach to adopt a strategy, select radar technique, destructive response in case of incomplete information from each. The second goal is to use mathematical and algorithmic methods for better performance in the functionality of the parties.
[1] Anastasios Deligiannis, “Mathematical Optimization and Game Theoretic Methods for Radar Networks”, PhD Thesis, Loughborough University, 2016.
[2] A. Cournot, Researches into the Mathematical Principles of the Theory of Wealth by Augustin Cournot, 1838. London: The Macmillan Company, 1897.
[3] F. Y. Edgeworth, Mathematical Physics. London: C. Kegan Paul and co., 1881.
[4] J. Von Neumann and M. O., Theory of Games and Economic Behavior. London: Princeton University Press, 1944.
[5] H. Li and B. Himed, “Non-Cooperative Games,” The Annals of Mathematics, Vol. 54, no. 2, pp. 286–295, 1951.
[6] N. Henareh and Y. Norouzi, “Game Theory Modeling of MIMO Radar and ARM Missile Engagement” 8th International Symposium on Telecommunications, 2016.
[7] T. Norouzi and Y. Norouzi, “Scheduling the usage of radar and jammer during peace and war time” IET Radar, Sonar and Navigation, Vol. 6, Iss. 9, pp. 929–936, 2012.
[8] Demand, M.A., Demand, R.W., “The history of game theory volume I”, Routledge, 1996.
[9] Hashemi, Seyed & Barati, Shahrokh & Talati, S. & Noori, H. (2016). “A genetic algorithm approach to optimal placement of switching and protective equipment on a distribution network”. Journal of Engineering and Applied Sciences. 11. 1395-1400.
[10] Hashemi, Seyed & Abyari, M. & Barati, Shahrokh & Tahmasebi, Sanaz & Talati, Saeed. “A proposed method to controller parameter soft tuning as accommodation FTC after unknown input observer FDI”. Journal of Engineering and Applied Sciences. 11. pp. 2818-2829, 2016.
[11] O. Sharifi-Tehrani and S. Talati. “PPU Adaptive LMS Algorithm, a Hardware-Efficient Approach; a Review on”, Majlesi Journal of Mechatronic Systems, Vol. 6, No. 1, 2017.
[12] S. Talati, A. Rahmati, and H. Heidari. “Investigating the Effect of Voltage Controlled Oscillator Delay on the Stability of Phase Lock Loops”, MJTD, vol. 8, no. 2, pp. 57-61, 2019.
[13] S. Talati, M. Hasani Ahangar “Analysis, Simulation and Optimization of LVQ Neural Network Algorithm and Comparison with SOM”, MJTD, Vol. 10, No. 1, 2020.
[14] S. Talati, P. Etezadifar “Providing an Optimal Way to Increase the Security of Data Transfer Using Watermarking in Digital Audio Signals”, MJTD, Vol. 10, No. 1, 2020.
[15] Talati, S., & Hassani Ahangar. M. R. “Combining Principal Component Analysis Methods and Self-Organized and Vector Learning Neural Networks for Radar Data”, Majlesi Journal of Telecommunication Devices, Vol. 9, No. 2, pp. 65-69, 2020.
[16] Hassani Ahangar, M. R., Talati, S., Rahmati, A., & Heidari, H. “The Use of Electronic Warfare and Information Signaling in Network-based Warfare”, Majlesi Journal of Telecommunication Devices, Vol. 9, No. 2, pp. 93-97, 2020.
[17] Aslinezhad, M., Mahmoudi, O., & Talati, S. “Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving. Majlesi Journal of Mechatronic Systems, Vol. 9, No. 4, pp. 59-67, 2020.
[18] 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, Vol. 9, No. 2, pp. 23-28, 2020.
[19] 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.
[20] Talati, S., akbari sani, M., Hassani Ahangar, M. “Identifying Radar Targets using the GMDH Deep Neural Network”. Radar, Vol. 8, No. 1, pp. 65-74, 2020.
[21] Akbarzade, H., Alavi, S. M., & Talati, S, “Investigating the Ambiguity of Ghosts in Radar and Examining the Diagnosis and Ways to Deal with it”. Majlesi Journal of Mechatronic Systems, Vol. 10, No. 2, 17-20, 2021.
[22] Talati, S., Abdollahi, R., Soltaninia, V., & Ayat, M. “A New Emitter Localization Technique Using Airborne Direction Finder Sensor”. Majlesi Journal of Mechatronic Systems, Vol. 10, No. 4, 2021.
[23] Talati, S., Hasani Ahangar, M. “Radar data processing using a combination of principal component analysis methods and self-organizing and digitized neural networks of the learning vector” . Electronic and Cyber Defense, Vol. 9, No. 2, pp. 1-7, 2021.
[24] Talati, S., Ghazali, S. M., Hassani Ahangar, M., & Alavi, S. M. “Analysis and Evaluation of Increasing the Throughput of Processors by Eliminating the Lobe’s Disorder”. Majlesi Journal of Telecommunication Devices, Vol. 10, No. 3, pp.119-123, 2021.
[25] Talati, S., & EtezadiFar, P. “Electronic attack on radar systems using noise interference”. Majlesi Journal of Mechatronic Systems, Vol. 10, No. 3, pp.7-11, 2021.
[26] Etezadifar, P., & Talati, S, “Analysis and Investigation of Disturbance in Radar Systems Using New Techniques of Electronic Attack. Majlesi Journal of Telecommunication Devices, Vol. 10, No. 2, pp.55-59, 2021.
[27] Saeed. Talati, Behzad. Ebadi, Houman. Akbarzade “Determining of 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, Medellin-Colombia. April 2017.
[28] Talati, S., & Alavi, S. M. “Radar Systems Deception using Cross-eye Technique”. Majlesi Journal of Mechatronic Systems, Vol. 9, No. 3, pp. 19-21, 2020.
[29] 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.
[30] O. Sharifi-Tehrani, "Hardware Design of Image Channel Denoiser for FPGA Embedded Systems," Przegląd Elektrotechniczny, Vol. 88, No. 3b, pp. 165-167, 2012.
[31] 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.
[32] 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.
[33] 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.
[34] 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.
[35] Sharifi-Tehrani O, Sabahi MF, Danaee MR. “Efficient GNSS Jamming Mitigation Using the MarcenkoPastur Law and Karhunen-Loeve Decomposition”. IEEE Transactions on Aerospace and Electronic Systems. 2021 Nov 30.
[35] Sharifi-Tehrani O, Sabahi MF, Danaee MR. “Null broadened–deepened array antenna beamforming for GNSS jamming mitigation in moving platforms”. ICT Express. 2021 Jul
