教師資料查詢 | 類別: 期刊論文 | 教師: 丘建青 Chiu Chien-ching (瀏覽個人網頁)

標題:Multi-objective Optimization for UWB Antenna Array by APSO Algorithm
學年105
學期2
出版(發表)日期2017/04/01
作品名稱Multi-objective Optimization for UWB Antenna Array by APSO Algorithm
作品名稱(其他語言)
著者Wei Chien; Chien-Ching Chiu; Yu-Ting Cheng; Shu-Han Liao; Horng-Shiou Yen
單位
出版者
著錄名稱、卷期、頁數Telecommunication system 64(4), p.649-660
摘要In this paper, a uniform circular antenna array (UCAA) combining genetic algorithm (GA) or asynchronous particle swarm (APSO) for finding out global maximum of multi-objective function in indoor ultra-wideband (UWB) communication system is proposed. The algorithm is used to synthesize the radiation pattern of the directional UCAA to reduce the bit error rate (BER), to increase received energy and channel capacity in indoor UWB communication system. Using the impulse response of multipath channel, the BER of the synthesized antenna pattern on binary antipodal-pulse amplitude modulation system can be calculated. Based on topography of the antenna and the shooting and bouncing ray/image techniques, the synthesized problem can be reformulated into a multi-objective optimization problem which would be solved by the GA and APSO. Numerical results show that the fitness value and convergence speed by APSO is better than those by GA. The results also show that for multi-objective problem APSO compared to GA can reduce the BER substantially. Moreover, APSO can get better results for both line-of-sight and non line-of-sight cases.
關鍵字UWB; Multi-objective; Asynchronous particle swarm algorithm; Circular antenna array; SBR/Image
語言英文
ISSN
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版
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