Abstract
Communications over multiple-input multiple-output (MIMO) wireless channels have been a subject of intense research over the past several years. For a MIMO communication system, if the communication environment is relatively stationary, the channel information is possible via feedback or the reciprocal principle when time division duplex (TDD) is used. The precoder designed by the channel information can process the transmitting symbol before transmission. It can used to adjust the power of the singles and match the channel matrix H and the input-shaping matrix Q. The communication system can increase the transmission reliability and decrease the detection complexity by the precoder. The conventional precoder is designed by singular value decomposition (SVD) which is exploited to diagonalize the channel matrix H. However the computational complexity of SVD is large, it will increase the cost of the system. In order to reduce the cost of the system, we try to find a novel algorithm to diagonalize the channel matrix H. In this thesis, LU decomposition (LUD) is utilized to diagonalize the channel matrix H. The simulation result shows that our proposed algorithm has better performance and lower complexity than the conventional SVD.