頁籤選單縮合
題 名 | Comparison of Particle Swarm Optimization and Genetic Algorithm for the Path Loss Reduction in an Urban Area |
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作 者 | Chiu, Chien-ching; Cheng, Yu-ting; Chang, Chai-wei; | 書刊名 | Journal of Applied Science and Engineering |
卷 期 | 15:4 2012.12[民101.12] |
頁 次 | 頁371-380 |
分類號 | 448.813 |
關鍵詞 | SBR/Image method; Outdoor environments; Antenna arrays; Antenna patterns; |
語 文 | 英文(English) |
英文摘要 | In this paper, we use the shooting and bouncing ray/image (SBR/Image) method to compute the path loss for different outdoor environments in the commercial area of Taipei. Three types of antenna arrays such as L shape, Y shape, and circular shape arrays are used in the base station and their corresponding path loss on several routes in the outdoor environment are calculated. Moreover, the genetic algorithm (GA) and particle swarm optimization algorithm (PSO) are employed to optimize the excitation voltages and phases for these antenna arrays to reduce the path loss. The GA and PSO optimization is applied to a high order nonlinear optimization problem. As such the chosen optimization problem for a direct algebraic solution exists. By the obtained antenna patterns, we can know the route with the lowest path loss; meanwhile, transmission power using this route in the base station can be reduced. Numerical results show that the performance in reduction of path loss by PSO algorithm is better than that by GA for these antenna arrays. The investigated results can help communication engineers improve their planning and design of outdoor communication system. |
本系統中英文摘要資訊取自各篇刊載內容。