無線通訊之波束改良分析及模擬研究

本論文先將8根發射天線以及8根接收天線做環型陣列的擺設，再利用射線彈跳追蹤法計算出任意給定室內無線環境之脈衝響應，在發射端與接受端均使用波束合成的技術，使能量聚焦，減少通道之間的多路徑效應干擾。再藉由基因演算法(Genetic Algorithms, GA)和自我適應之動態差異演算法(Self-Adative Dynamic Differential Evolution,SADDE)來調整天線的激發振福及每一根陣列元素上的饋入線長度，並且降低傳輸的位元錯誤率。在同一個室內模擬環境下，我們分成直接波與非直接波的兩種方式，分別用基因演算法與自我適應之動態差異兩種演算法執行出模擬場型圖，根據模擬結果顯示，自我適應之動態差異演算法在收斂速度及位元錯誤率方面，性能都比基因演算法來的更好。

關鍵字

環形陣列天線；波束形成；基因演算法；自我適應之動態差異演算法

並列摘要

In this thesis, beamforming techniques are employed to reduce the multi-path effect of the channel and bit error rate. We use eight transmitter antennas and eight receiver antennas as the circle antenna array. Shooting and bouncing ray/image(SBR/Image) technique combining with antenna pattern are used to calculate the impluse response in indoor wireless environment. We adjust the excitation amplitude and feedlength of each array element by using the Genetic Algorithms(GA) and Self-Adative Dynamic Differential Evolution(SADDE) method . Both Line-of-sight (LOS) and non-Line-of-sight(NLOS) cases are presented in the indoor environment. We synthesize the patten of the antenna array by using Genetic Algorithms(GA) and Self-Adative Dynamic Differntial Evolution(SADDE). Numerical results show that SADDE algorithm outperforms GA algorithm in terms of bit error rate and convergence speed.

並列關鍵字

UWB Circle Array Antenna, Beamforming, Genetic Algorithm, Self-Adative Dynamic Differential Evolution

參考文獻

[17] 賴智揚, “智慧型天線於寬頻分碼多重進接存取系統之應用,” 中原大學電子系碩士論文, 2002.

[2] T. S. Rappaport, Wireless Communications, Prentice Hall PTR, 2002.

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[8] B.S. Paul and R. Bhattacharjee, “MIMO Channel Modeling : A Review, ” IETE Technical, vol. 25, issue 6,Nov-Dec. 2008.

[10] W. M. Lovelace and J. K. Townsend, “The Effects of Timing Jitter and Tracking on the Performance of Impulse Radio,” IEEE Journal on Selected Areas in Communications, vol. 20, no. 9, pp. 1646-1651, December 2002.

國際替代計量

無線通訊之波束改良分析及模擬研究

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