A multi-objective approach in the linear antenna array design |
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| Affiliation: | 1. CICESE Research Center, Applied Physics Division, Km. 107 Carretera Tijuana-Ensenada, Ensenada Baja California 22860, Mexico;2. Telecommunication Department, Technical University, Havana, Cuba (ISPJAE);1. Mechatronics Engineering School of Guangdong University of Technology, Guangzhou 510006, China;2. Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China;1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. Electronic Engineering Department at Sudan Technological University, Khartoum, Sudan;3. Communication Engineering Department, AlMughtaribeen University, Khartoum, Sudan;4. College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China;5. College of Physics and Information, Fuzhou University, Fuzhou 350116, China;6. Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, China |
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| Abstract: | We show that linear antenna array design can be modeled as a multi-objective optimization problem. A genetic algorithm is proposed for the solution of this problem. This genetic algorithm efficiently computes the trade-off curve between main beam width and side lobe level for linear antenna arrays with uniform and non-uniform separations. For uniform separation, the proposed algorithm is validated against the Chebyshev method for the cases of 6-, 8-, 10-, and 12-element linear arrays. Simulation results for non-uniform spacing with uniform and non-uniform excitations applied across the array indicate that the trade-off curve between main beam width and side lobe level for uniform spacing arrays can be improved by introducing non-uniform spacing. |
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