基于信道状态信息反馈的特征波束形成算法

在多输入多输出通信系统中,为了有效地降低系统的误符号率,提出了一种特征波束形成算法。在假设接收端能准确地完成信道估计,并能及时将信道的互相关矩阵反馈到发射端的基础上,研究了接收和发射均采用多天线的特征波束形成算法,对其性能进行了详细的分析和推导,并在此基础上研究了波束形成与空时块码的结合以提高系统的频谱利用率。计算机仿真结果表明,在接收端采用多根天线相对于单根天线能明显降低系统的误符号率。特征波束形成算法通过同时提供波束形成增益和分集增益位置,有效地提高了系统性能。

Eigen-beamforming algorithm based on channel state information feedback

In MIMO communication systems,an eigen-beamforming algorithm which could reduce the symbol error rate effectively was proposed.Suppose the receiver can fulfill the channel estimation accurately,and feedback the channel correlation matrix to the transmitter in time,research was made on the eigen-beamforming algorithm in which both the transmitter and receiver use multiple antennas,and give detailed analysis and ratiocination.Based on the work above,the combination of beamforming and space-time block code was studied in order to increase the information transfer rate per hertz.Simulation result shows that the symbol error rate can be reduced remarkably when the receiver uses multiple antennas other than only one.The eigen-beamforming algorithm could improve the performance effectively by providing beamforming gain and diversity gain simultaneously.