多重輸入多重輸出(multiple input multiple output, MIMO)系統可以增加傳輸容量(capacity)和獲得空間增益(spatial diversity gain),若能搭配適當的訊號偵測演算法必能有效地提升頻譜使用效率,但是效能佳的偵測演算法往往伴隨著高複雜度的問題,所以本論文主要針對MIMO 系統使用不同偵測演算法在瑞雷衰減下之效能、複雜度還有各種偵測演算法在高速移動下通道會快速變化和多重路徑下產生符際干擾效應之效能進行研究。本論文共模擬分析了傳統線性偵測演算法和將傳統演算法結合晶格縮減(lattice reduction, LR)演算法等;也模擬在高速移動下多重路徑通道偵測演算法效能。
The multiple-input multiple-output (MIMO) antenna systems can increase the transmission capacity and the spatial diversity gain, if with the appropriate signal detection algorithm will be able to effectively improve the efficiency of spectrum. The more better performance detection algorithm is often accompanied much higher complexity problem. In this thesis, we analyzed the performance and the complexity of the MIMO systems using different detection algorithms under Rayleigh fading channel. This thesis analyzed simulation of the traditional linear detection algorithm and traditional detection algorithm combined with the lattice reduced (LR) algorithm.