近年來低密度同位元檢查碼(Low-Density Parity-Check codes)受到了許多關注。在文中吾人利用渦輪架構(Turbo scheme)針對通道的偵測(ICI消除)與通道編碼的解碼(Sum-product algorithm)對介於行動通道的LDPC-OFDM系統進行效能的探討,並與相同架構但使用不同的編碼與解碼機制的convolutional coded-OFDM系統進行比較。最後我們也考慮通道為完美或非完美知道的情況進行比較。 模擬結果顯示,本論文提出的方法比渦輪架構ICI消除和BCJR解旋旋碼的CC-OFDM系統,當codeword長度夠長時可達到相似的效能,也可以有較低的解碼計算複雜度。
Recently, low-density parity-check (LDPC) codes have attracted a lot of attention. In this thesis, we apply turbo inter-carrier interference (ICI) cancellation (channel detecting) and sum-product decoding to the LDPC-OFDM system in the mobile channel. The simulation results show that the proposed Turbo ICI cancellation and sum-product algorithm decoding of LDPC coded OFDM systems can achieve the comparable error rate performance with Turbo ICI cancellation and BCJR decoding of convolutional coded-OFDM systems when codeword length is not too short. LDPC_OFDM also have lower computational complexity. We also consider the perfected known and unperfected known channel conditions.