Analysis and Evaluation of Increasing the Throughput of Processors by Eliminating the Lobe’s Disorder
الموضوعات : Majlesi Journal of Telecommunication Devices
Saeed Talati
1
(Faculty of Electronic Warfare Engineering, Shahid Sattari University of aeronautical Science and Technology)
Seyed Morteza Ghazali
2
(2- Electrical Engineering Department, Babol Nooshirvani University of Technology, Babol, Mazandaran, Iran.)
MohammadReza Hassani Ahangar
3
(Professor, Imam Hossein University)
Seyed Mohammad Alavi
4
(Associate Professor, Imam Hossein University)
الکلمات المفتاحية: Electronic Support, Electronic Warfare, radar, Electronic Protect, Electronic Attack,
ملخص المقالة :
In modern radars, the design is such that radar vulnerability to noise disturbance is significantly reduced. This dramatic decrease is due to the fact that radars are always trying to increase their capability against the heavy clutter they receive from the ground. Radars use antenna sidelobes to reduce clutter. By reducing the antenna sidelobes, the vulnerability of the radar to the heavy clutches of the sidelobes is reduced, which also reduces the vulnerability to sidelobe disturbance. In this article, we try to examine the reduction of clutter causing the reduction of vulnerability to disorder.
[1] 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.
[2] 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, Jun. 2017.
[3] 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.
[4] 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, May 2019.
[5] 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, Medellin-Colombia. April 2017.
[6] Saeed Talati, Mohamadreza HasaniAhangar, “Analysis, Simulation and Optimization of LVQ Neural Network Algorithm and Comparison with SOM”, MJTD, vol. 10, no. 1, Jan. 2020.
[7] 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.
[8] Saeed Talati, Pouriya Etezadifar, “Providing an Optimal Way to Increase the Security of Data Transfer Using Watermarking in Digital Audio Signals”, MJTD, vol. 10, no. 1, Feb. 2020.
[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.
[10] Talati, S., & amjadi, alireza. (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).
[11] Talati, S., akbari sani, M., Hassani Ahangar, M. (2020). Identifying Radar Targets using the GMDH Deep Neural Network. Radar, 8(1), 65-74.
[12] Talati, S., hasani ahangar, M. (2021). '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.
[13] 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.
[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., & Alavi, S. M. (2020). Radar Systems Deception using Cross-eye Technique. Majlesi Journal of Mechatronic Systems, 9(3), 19-21.
[16] 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.
[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, "Hardware Design of Image Channel Denoiser for FPGA Embedded Systems," Przegląd Elektrotechniczny, vol. 88, no. 3b, pp. 165-167, 2012.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
