Mimo System Balancing Technology Research

The need for wireless data and multimedia services promotes the development and applications of many high-speed wireless communication techniques. Multiple Input and Multiple Output (MIMO) techniques have gained more and more interest in the last a few years. As information theory indicates, Large capacity is obtained via the potential decorrelation between the channel coefficient of the multiple-input multiple-output(MIMO)radio channel .This means multiple-antenna systems can transmit information with higher data rate when the bandwidth and signal-noise-ratio is fixed .So the study of multi-antenna systems is significant.In this paper, we introduction of fading channels based on discuss the principle of MIMO system, and it was made the simulation of the integrated MIMO channel theoretical model. Furthermore, the channel equalization technique in MIMO system is investigated, with the emphasis on training sequence-based and blind-based channel equalization methods. The general convergence behaviors of blind-based channel equalization methods has been analyzed, and be dead against the ONE TO MANY also several improved algorithms are given respectively. Finally, the analysis and comparison of these algorithms is made by computer simulation.