應用人工魚群優化演算法於天線陣列分析與設計

Analysis and Design of Antenna Arrays by Artificial Fish Swarm Optimization Algorithm

莊政鴻(Jeng-Hung Juang) ； 李坤洲(Kun-Chou Lee)

《清雲學報》 32卷3期 (2012/07) Pp. 35-50

https://doi.org/10.7049/JCYU.201207.0035

摘要

隨著通訊科技的進步與發展，近幾年已完全改變人類的生活方式，亦帶來更多的便利，其中天線通訊陣列在無線通訊類別為較舉足輕重之技術。若沒有天線陣列相關技術之發展，將使無線通訊系統無法達到傳遞與優化效果，並會出現無線通訊干擾的問題。由於天線陣列的分析與設計，在通訊領域中扮演相當重要的地位，因此本研究提出一種嶄新的人工魚群優化演算法，應用於天線陣列的設計與分析，以探討通訊電磁能量的集中問題，這與天線元素位置與權重之物理特性有相當大的關聯性。本研究屬於複雜度高，且牽涉相當艱深的通訊工程技術，因此本文所提出人工魚群優化演算法（Artificial Fish Swarm Optimization Algorithm；AFSOA）來解決這個問題。AFSOA是模擬魚群行為，經由覓食、群聚、追尾與行為選擇等程序，使魚群朝近似最佳解方向游動，這將有助於解決天線陣列複雜度之問題，以降低時間成本。經過實際模擬測試結果，證實本研究在主束寬限制下，在降低旁波辨級方面有顯著的改善。

關鍵字

人工魚群優化演算法 ； 天線陣列 ； 通訊科技

並列摘要

The progress and the development of the Communications Technology which has not only changed the life style of human beings, but also brings lots of convenient to our daily life in recent years. Antenna Arrays is the one of important communication technology plays the critical component in wireless communication. If there is not any research regarding Antenna Arrays, the wireless communication system is unable to reach the optimization of Transmitting、receiving and reducing the interference of wireless communication. Following the above description, we can learn analysis and design of Antenna Arrays plays an important role in Communications Technology. Therefore, we propose the new water flow optimization algorithm to apply in the analysis and design of Antenna Arrays in this dissertation. The Electromagnetism energy of the communication can gather up or not and how to reduce the electromagnetic interference which have the considerable relevance with the location and weight of the physical characteristics of the antenna elements. This issue is complicated which has involved in lots of technicians of communication engineering difficulties. Therefore, this thesis propose the Artificial Fish Swarm Optimization Algorithm (AFSOA) to solve this issue. ASFOA simulates fish swarm behavior. By preying, swarming, following and behavior selection, etc then keep fish swarm to the approximate ideal direction. This assist us to solve the complicated problems from Antenna Arrays, saving the cost of time as well. The theory is to decrease Side lobe level restriction on main beam width to show how AFSOA is excellent.

並列關鍵字

Artificial Fish Swarm Optimization (AFSOA) ； Antenna Arrays ； Communications Technology