本篇論文研究最佳化設計遞迴式偵測與解碼架構應用在MIMO-OFDM系統上，偵測技術中最佳偵測為MAP detection，其次佳偵測為MMSE-SIC detection與V-BLAST detection，藉由EXIT charts來分析其這些偵測與通道行為所達到的最大通道容量。為了趨近最大通道容量，而系統中所選用通道編碼技術佔有非常重要的部份，適當的通道編碼使能趨近最大通道容量，根據EXIT chart分析與curve- fitting技術使選用的通道編碼趨近最大通道容量，而本論文選用IRA code應用於MIMO- OFDM系統上，並使用新式遞迴解碼法設計IRA code的參數來逼近最大通道容量。

In this thesis, optimal design of iterative detection and decoding is researched in MIMO-OFDM systems. The optimal detection is maximum a posterior probability (MAP), the suboptimal detections are MMSE-SIC detection and V-BLAST detection.
We use the EXIT charts to analysis these detection and channel behavior and to compute channel capacity. To closely largest channel capacity, it’s important to make a choice of the channel encoder. According to EXIT charts and curve-fitting technology, it operates close to largest channel capacity. In MIMO-OFDM systems, the IRA code is a choice. In the paper, a novel iterative decoding structure is proposed for MIMO-OFDM systems. Moreover, the novel iterative decoding designs many parameters of IRA code. Finally, these parameters of IRA code achieve close to channel capacity in given channel behavior and detection.

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