| Summary: | 碩士 === 國立成功大學 === 系統及船舶機電工程學系碩博士班 === 100 === An antenna array is a system that contains many transmitting or receiving elements. It is a fundamental tool for wireless communications. In building an antenna array, optimal design of array parameters is important. For example, degrading the side-lobe level can reduce the opportunity of receiving noises. This then motivates us to develop optimization flowchart for degrading the side-lobe level of an antenna array.
In this study, the global optimization of an antenna array is given by evolutionary algorithms. Initially, the characteristics of an antenna array are introduced in this study. Next, different types of evolutionary algorithms are utilized to calculate the optimum positions and weights of an antenna array under the constraint of given beam-width. The evolutionary algorithms utilized in this study include the Climbing Algorithm, the Particle Swarm Algorithm, the Differential Algorithm and the Differential Algorithm of Changing Strategy. Simulation results show that our optimization flowchart can successfully achieve optimum positions and weights for elements of an antenna array. Due to the use of evolutionary algorithms, the convergence in this study is nearly globally optimum, but not locally optimum. The flowchart of optimization established in this study can also be applied to many other nonlinear optimization problems in engineering.
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