Presenting a New Model of Optimal Coordinated beam former Vector Selection in DRFM for Radar Jamming
محورهای موضوعی :
Majlesi Journal of Telecommunication Devices
Hasan Mohammadi
1
,
khodadad Halili
2
,
Vahidreza Soltaninia
3
,
Meysam Bayat
4
,
Saeed Talati
5
1 - Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.
2 - Assistant Professor, Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.
3 - Department of Electronic Warfare, Faculty of Electronic warfare Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran
4 - Assistant Professor of Communications, Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.
5 - Shahid Sattari University of Aeronautical Engineering, Tehran, Iran.
تاریخ دریافت : 1402/03/01
تاریخ پذیرش : 1402/04/16
تاریخ انتشار : 1402/06/10
کلید واژه:
Coherent beam former,
Frequency Domain,
Digital Signal Processing,
DRFM,
چکیده مقاله :
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.
منابع و مأخذ:
[1] Streetly, Jan's Radar and Electronic Warfare System. Jan's Information Group, 2001.
[2] Q. Zhang "Understanding Digital Radio Frequency Memory", Royal Military College of Canada, 2020.
[3] Shi, Q. Zhang, Y.-C. Liang, and X. Yuan, "Distributed deep learning power allocation for D2D network based on outdated information," in 2020 IEEE Wireless Communications and Networking Conference (WCNC), 2020, pp. 1-6: IEEE.
[4] Talati, S., EtezadiFar, P., Hassani Ahangar, M. R., Molazade, M “Investigation of Steganography Methods in Audio Standard Coders: LPC, CELP, MELP” Majlesi Journal of Telecommunication Devices, 12(1), pp. 7-15, 2023, doi: 10.30486/mjtd.2022.695928.
[5] Talati, S., Hassani Ahangar, M, “Analysis, Simulation and Optimization of LVQ Neural Network Algorithm and Comparison with SOM”, Majlesi Journal of Telecommunication Devices, 9(1), pp. 17-22, 2020.
[6] Talati, S., and M. R. Hasani Ahangar. “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 9.2 (2021): 1-7.
[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.
[9] 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.
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.
