| With the rapid development of mobile Internet, the evolution of wireless communication technology is encouraged by the new demand to the wireless network in a certain degree. It has become the purpose and motivation of the research about next generation of mobile communication technology that how to transmit the information and data more reliably and efficiently in the limited spectrum resource. The possibility to realize high rate and high quality transmission in next generation communication technology can be provided by Multiple-Input and Multiple-Output(MIMO) technology, which can make full use of the space resources to increase the channel capacity and transmission rate, and Orthogonal Frequency Division Multiplexing(OFDM) technology, which can strongly combat multipath fading and improve the spectrum efficiency.The key technologies of MIMO-OFDM system are studied in the thesis. First, the theoretical derivation of basic principles about MIMO and OFDM technologies is introduced, and a system model with those two technologies combined together is proposed. Then the channel estimation technology and peak to average power ratio(PAPR) technology of MIMO-OFDM system are studied. In the research of algorithms for channel estimation, it focuses on the summaries and analyses of some conventional estimation methods and an improvement is made to avoid inverse operation of matrix. The Mean Square Error(MSE) performances of those algorithms is analyzed and compared by the simulation. By comparing those individual processing algorithms such as Independent Se Lective Mapping(ISLM) and Independent Partial Transmit Sequence(IPTS) with those cooperative processing algorithms such as Concurrent SeLective Mapping(CSLM) and Concurrent Partial Transmit Sequence(CPTS) in the research of PAPR algorithms, a new algorithm with computation reduced of SFBC-PTS is proposed, which has a good performance by the results of simulation. |
