在本論文中,我們探討在長期演進技術(Long Term Evolution - LTE)系統下之渦輪碼,經過白高斯雜訊(AWGN)通道與衰退通道(Fading Channel)後,利用MAP(Maximum A Posteriori Probability)、Max-Log MAP、Log MAP三種演算法進行解碼。系統架構套用第三代合作夥伴計畫(3GPP TS 36.212 V9.2.0)內的規範,在經過通道(Channel)效應後,最大事後機率(MAP)與Log MAP演算法有較小的誤碼率(Bit Error Rate);而相對的Max-Log MAP演算法雖然誤碼率較高,卻有較低的運算複雜度(Complexity),適合用於硬體實現。論文內將探討訊號訊雜比(SNR)的估測對渦輪碼解碼之影響,並且討論在衰退通道(Fading Channel)當中衰退振幅(fading amplitude)的估測所造成的系統解碼正確與否。
In this paper, we study a turbo code decoder for 3GPP Long Term Evolution (LTE) system. We use Maximum A Posteriori Probability (MAP), Log-MAP and MAX-Log-MAP algorithm for turbo code decoding, under AWGN channel and fading channel. After channel decoding, we realize that MAP and Log-MAP has the same performance better than Max-Log-MAP, but Max-Log-MAP algorithm reduce more complexity than MAP and Log-MAP algorithm. If turbo code decoding cannot get SNR information, we use SNR estimation to solve SNR unknown. Furthermore, we consider if fading amplitude unknown, what situation will occur under fading channel.