Presenting a New Model of Optimal Coordinated beam former Vector Selection in DRFM for Radar Jamming

الموضوعات : Majlesi Journal of Telecommunication Devices

Hasan Mohammadi ¹ (Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.)
khodadad Halili ² (Assistant Professor, Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.)
Vahidreza Soltaninia ³ (Department of Electronic Warfare, Faculty of Electronic warfare Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran)
Meysam Bayat ⁴ (Assistant Professor of Communications, Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.)
Saeed Talati ⁵ (Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.)

تاريخ الإرسال : 02 الإثنين , ذو القعدة, 1444 تاريخ التأكيد : 19 الجمعة , ذو الحجة, 1444 تاريخ الإصدار : 16 الجمعة , صفر, 1445

الکلمات المفتاحية: Coherent beam former, Frequency Domain, Digital Signal Processing, DRFM,

ملخص المقالة :

Digital Radio Frequency Memory (DRFM) is a technique that uses high-speed sampling and digital memory to store radio frequency and microwave signals. DRFM is a popular technique for implementing false-target ECM systems. DRFM is a technique that stores and reproduces radio frequency (RF) and microwave signals. Input an RF signal that has been converted to a frequency sufficient for sampling by a high-speed A/D converter (ADC). The sampled signal is stored in a high-speed memory and can be retrieved and converted to the original signal using a D/A converter (DAC). In this article, the principles and architecture of DRFM have been reviewed and to improve the performance of this system, the method of interference matching has been proposed using a coordinated beam shaper to improve the performance of this system in creating interference. This article, it is presented to evaluate the proposed method in improving the interference values and BER in the method based on the improvement of the coordinated beam former. For this purpose, a DRFM was considered for disruption. Then the proposed method was implemented with the help of signal processing and in MATLAB software on this DRFM. In the proposed method, an objective function is considered by considering the increase in the number of objectives in proportion to the fulfillment of the acceptable rate. Based on this objective function, the amount of interference and BER has been reduced. The effect of increasing targets on interference and BER has been investigated in evaluating the proposed method. For this purpose, the SINR value was changed, and based on the change of the SINR value and the change in the number of targets, the evaluation was done. The obtained results show that with the increase in the number of targets, the amount of interference and also the amount of BER have increased. The increase in the number of targets in the proposed optimal and quasi-optimal coordinated beam former method with the increase in the number of targets is much less than that of the coordinated beam former. It is also the reason for this superiority. Also, the desired optimization function in the stated situations has caused this importance to be taken into account. The proposed method has been evaluated in terms of bit error rate and interference. The evaluation results show a reduction in bit error rate up to 6%, and interference up to 5% compared to the coordinated beam former as the number of targets increases.

المصادر:

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• [7] Talati, A. Rahmati, and H. Heidari. (2019) “Investigating the Effect of Voltage Controlled Oscillator Delay on the Stability of Phase Lock Loops”, MJTD, vol. 8, no. 2, pp. 57-61.


• [8] 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.


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• Aslinezhad, M., Mahmoudi, O., & Talati, S. (2020). “Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving”. Majlesi Journal of Mechatronic Systems, 9(4), 59-67.


• 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.


• Talati, S., Alavi, S. M., & Akbarzade, H. (2021). “Investigating the Ambiguity of Ghosts in Radar and Examining the Diagnosis and Ways to Deal with it”. Majlesi Journal of Mechatronic Systems, 10(2).


• Etezadifar, P., & Talati, S. (2021). “Analysis and Investigation of Disturbance in Radar Systems Using New Techniques of Electronic Attack”. Majlesi Journal of Telecommunication Devices, 10(2), 55-59.


• 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.


• Talati, S., & Alavi, S. M. (2020). “Radar Systems Deception using Cross-eye Technique”. Majlesi Journal of Mechatronic Systems, 9(3), 19-21.


• Talati, Saeed, Akbari Thani, Milad, Hassani Ahangar, Mohammad Reza. 2020. “Detection of Radar Targets Using GMDH Deep Neural Network”, Radar Journal, 8 (1), pp. 65-74.


• Talati, S., Abdollahi, R., Soltaninia, V., & Ayat, M. (2021). “A New Emitter Localization Technique Using Airborne Direction Finder Sensor. Majlesi Journal of Mechatronic Systems”, 10(4), 5-16.


• Akbarzade, Houman, Seyed Mohammad Alavi, and Saeed Talati. "Investigating the Ambiguity of Ghosts in Radar and Examining the Diagnosis and Ways to Deal with it."Majlesi Journal of Mechatronic Systems 10.2 (2021): 17-20.


• Hashemi SM, Barati S, Talati S, Noori H. “A genetic algorithm approach to optimal placement of switching and protective equipment on a distribution network.” J Eng Appl Sci 2016; 11: 1395-1400.


• 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, Jun. 2017.


• Hashemi, Seyed & Abyari, M. & Barati, Shahrokh & Tahmasebi, Sanaz & Talati, S. (2016). “A proposed method to controller parameter soft tuning as accommodation FTC after unknown input observer FDI”. Journal of Engineering and Applied Sciences. 11. 2818-2829.


• Talati, Saeed, et al. "Analysis and Evaluation of Increasing the Throughput of Processors by Eliminating the Lobe’s Disorder."Majlesi Journal of Telecommunication Devices 10.3, 2021, 119-123.


• 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, May 2019.


• Talati, Saeed, and Pouria EtezadiFar. "Electronic attack on radar systems using noise interference."Majlesi Journal of Mechatronic Systems 10.3, 2021, 7-11.


• Seyed Morteza Ghazali, Jalil Mazloum, Yasser Baleghid. “Modified binary salp swarm algorithm in EEG signal classification for epilepsy seizure detection” Biomedical Signal Processing and Control. Volume 78, September 2022.


• Talati, Saeed, Ghazali, Seyed Morteza, SoltaniNia, VahidReza, “Design and construct full invisible band metamaterial-based coating with layer-by-layer structure in the microwave range from 8 to 10 GHz” Journal of Physics D: Applied Physics. Volume 56, Number 17. 2023. DOI 10.1088/1361-6463/acb8c7.


• Seyed M. Ghazali; Y. Baleghi. "Pedestrian Detection in Infrared Outdoor Images Based on Atmospheric Situation Estimation".Journal of AI and Data Mining, 7, 1, 2019, 1-16.