此篇論文中,我們提出一種新的疊代平行雜訊消除接收機架構,首先使用QR分解(QR Decomposition)先行粗略估算傳送訊號,其後利用疊代平行干擾消除(Iterative PIC)方法進行多次估計,比較原有標準疊代平行干擾消除(Iterative PIC-STD)與決策統計疊代平行干擾消除(Iterative PIC-DSC)架構,模擬結果顯示新架構在相同次數疊代下,保有原有圖框錯誤率,此外也使得運算量大幅減少。
In this thesis, we propose a new iterative parallel interference cancellation receiver architecture. QR-decomposition algorithm is used to compute the transmitted signals roughly in advance, and followed by an iterative parallel interference cancellation (Iterative PIC) to calculate them several times. The simulation shows that the new receiver architecture not only keeps the original frame error rate(FER) in several iteration but also reduces large number of operations comparing with standard iterative parallel interference cancellation (Iterative PIC-STD) and iterative parallel interference cancellation with decision statistics combining (Iterative PIC-DSC).