Path Loss Reduction in An Urban Area by Applying Optimization Method

碩士 === 淡江大學 === 電機工程學系碩士班 === 98 === In this paper, we use the 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 corre...

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Bibliographic Details
Main Authors: Chai –Wei Chang, 張家偉
Other Authors: Chieh-Ching Chiu
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/16142097515544721847
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Summary:碩士 === 淡江大學 === 電機工程學系碩士班 === 98 === In this paper, we use the 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, three algorithms are employed to optimize the excitation voltages and phases for antenna arrays to form proper antenna patterns. The performance in reduction of path loss by the optimization algorithm is investigated for these antenna arrays. The particle swarm optimization algorithm and dynamic differential evolution algorithm have more advantages than genetic algorithm. 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. The dynamic differential evolution algorithm has better optimization result than genetic algorithm in LOS case. But the particle swarm optimization has better optimization result in NLOS case. The investigated results can help communication engineers improve their planning and design of outdoor communication system.