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題 名 | 結合粒子群與水流優化演算法於天線陣列分析與設計=Analysis and Design of Antenna Arrays by Combining Water Flow Optimization Algorithm with Particle Swarm Optimization |
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作 者 | 李坤洲; 莊政鴻; | 書刊名 | 建國科大理工期刊 |
卷 期 | 32:1 2012.10[民101.10] |
頁 次 | 頁55-75 |
分類號 | 448.813 |
關鍵詞 | 通訊科技; 天線陣列; 最佳化; 混和演算法; Communications technology; Antenna arrays; Optimization; Hybrid algorith; |
語 文 | 中文(Chinese) |
中文摘要 | 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混和演算法,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,因此本文所提出結合粒子群與水流優化演算法(Combining Water Flow Optimization Algorithm with Particle Swarm Optimization; PSO-WFOA)來解決這個問題。PSO-WFOA是模擬大自然中水流,在地理空間中受到地球引力的影響,再經由分流、匯流、蒸發與降雨程序,結合粒子群優化方法,使水流朝近似最佳解方向流動,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,在降低旁波瓣級方面有顯著的改善。 |
英文摘要 | 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 hybrid 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 combining Water Flow Optimization Algorithm with Particle Swarm Optimization (PSO-WFOA) in this dissertation. The solution of PSO-WFO is to simulate nature water flowing by the influence of earth gravity. By the way of split, Merging, evaporation, and dropping, combining the particle swarm optimization method. which let us know how the better process of the water flow 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 PSO-WFOA is excellent. |
本系統中英文摘要資訊取自各篇刊載內容。