Implementasi Metode Differential Evolution pada Antena Array untuk Mengurangi Sidelobe

Hibatulhaqqi, Radifan Aiman Nabil (2017) Implementasi Metode Differential Evolution pada Antena Array untuk Mengurangi Sidelobe. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem antena array diperlukan pada sistem komunikasi jarak jauh seperti komunikasi satelit dan RADAR. Sistem antena array memiliki keunggulan gain yang tinggi, hal ini menjadikan sistem antena array menjadi penting pada komunikasi jarak jauh. Akan tetapi setiap penambahan jumlah elemen array akan menimbulkan sidelobe yang dapat mengganggu kinerja sistem komunikasi jarak jauh. Beberapa jenis metode optimasi untuk mengurangi sidelobe level telah digunakan, namun memberikan solusi yang kurang optimal. Untuk mengatasi kekurangan dari metode algoritma lain, metode algoritma differential evolution (DE) dikembangkan. Metode DE membandingkan selisih antar calon solusi dari permasalahan optimasi. Sehingga metode DE dapat menemukan solusi optimal dengan cepat. Dalam penelitian ini dibandingkan nilai puncak sidelobe dan jumlah elemen array antena yang aktif pada metode optimasi differential evolution dan tanpa metode optimasi, diharapkan dapat membuktikan bahwa metode differential evolution adalah metode algoritma yang tepat untuk menurunkan nilai sidelobe level pada sistem antena array. Dari hasil simulasi, metode differential evolution mampu mengurangi puncak sidelobe level hingga -14,7442 dB dari -12 dB dengan menonaktifkan tiga elemen array pada array 15 elemen, -18,2010 dB dari -13,54 dB dengan menonaktifkan lima elemen array pada array 30 elemen, dan -28,8248 dB dari -24,59 dB dengan menonaktifkan dua elemen array pada array 60 elemen. ======================================================================================================== An array antenna system is required on remote communications systems such as satellite communications and RADAR. Antenna array system has a high gain advantage, this makes the antenna array system becomes important in long-distance communication. But any addition of the number of array elements will cause sidelobe that can interfere with the performance of remote communication system. Several types of optimization methods to reduce sidelobe level have been used, but provide a less than optimal solution. To address the disadvantage of other algorithmic methods, differential evolution (DE) algorithm methods are developed. The DE method compares the difference between potential solutions from the optimization problem. So the DE method can find the optimal solution quickly. In this study, we compared the peak value of sidelobe and the number of antenna array elements active with differential evolution optimization method and without optimization method, it is expected to prove that differential evolution method is the right algorithm method to decrease the sidelobe level value in the antenna array system. From the simulation results, the differential evolution method is able to reduce the sidelobe peak level to -14.7442 dB from -12 dB by disabling three array elements on an array of 15 elements, -18.2010 dB of -13.54 dB by disabling the five array elements on the array 30 elements, and -28,8248 dB from -24.59 dB by disabling two array elements on an array of 60 elements.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.382 4 Hib i-1
Uncontrolled Keywords: Array Antena Linier, Optimasi, Sidelobe Level, Differential Evolution.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.6 Antennas (Electronics)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electromagnetic Devices
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication
Divisions: Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Radifan Aiman Nabil Hibatulhaqqi
Date Deposited: 20 Nov 2017 03:17
Last Modified: 06 Mar 2019 04:30
URI: http://repository.its.ac.id/id/eprint/43715

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