MBER準則已被證明能比傳統MMSE準則更有智慧調整波束成型器權重,以達到較低的位元錯誤率表現,本論文對最小位元錯誤率準則與其可適性演算法做一番研究,並由實驗分析比較與傳統MMSE準則位元錯誤率的差異。 多天線陣列常被用來克服多重路徑干擾導致通道衰減的影響,我們對各種天線陣列架構進行比較,在第四、五章中推導出ULA、UCA與CRA個別對兩種角度擴散機率密度分布(均勻分布和截高斯分布)的空間相關性函數,由實際實驗模擬的位元錯誤率圖形比較天線陣列間的差異,並討論位元錯誤率與空間相關性之關連,在多用戶端行動通訊環境下,我們也由模擬驗證可適性MBER演算法,會比傳統MMSE準則有更好的效果。
It is demonstrated that the MBER criterion can adjust the weights of the beamforming more intelligently than the traditional MMSE criterion to reduce the bit error rate. This thesis researches on the MBER criterion and the adaptive MBER algorithm. We compare the difference between the MBER criterion and the MMSE criterion by showing the simulation results. Multiple antenna arrays are often used to overcome the effect of channel fading which is caused by multipath interference. In chapters 4 and 5 ,we derive spatial correlation equations of ULA ,UCA and CRA for two types of angular spread distributions (uniform distribution and truncated Gaussian distribution).We also compare the difference between these antenna arrays by showing the bit error rate simulation results and discuss the relationship between BER and spatial correlation. In a multi-user mobile radio environment , we present simulation results to show that adaptive MBER algorithms have better performance than the traditional MMSE algorithm.