基于特征值准则的可变数目天线选择算法

A Number-Variable Antenna Selection Algorithm Based on Eigenvalue Criterion

提出了多输入多输出相关信道下基于特征值准则的可变数目收发天线选择算法,来动态适应相关性不同的无线环境的通信要求.算法根据特征值准则,利用最小特征值和特征值总和之比,来确定选择的发送或接收天线数目,并通过每次循环中选择最大特征值所对应的发送或接收天线实现具体的天线选择;为了进一步降低算法复杂度,还可使用特征值估计来代替特征值分解.算法能够结合链路自适应技术,如自适应调制技术和动态检测算法选择等,来提高数据速率或误码性能.理论分析和仿真结果表明:所提算法能够根据多输入多输出信道的相关特性动态选择天线数目,即使在信道相关性很高时,仍然可以在保证误比特率的前提下,获得与信道相关性较低时几乎相同的数据速率.

An antenna selection （AS） algorithm with variable antenna number based on eigenvalue criterion for correlated multi-input multi-output （MIMO） systems is proposed to satisfy the requirements of wireless communication under different space correlation environments. Using eigenvalue criterion, the numbers of the transmitting antennas or receiving antennas are determined by the ratio of the minimum eigenvalue and the sum of eigenvalues, and the antennas corresponding to the maximum eigenvalue are selected. To reduce the complexity, eigenvalue decomposition is replaced by eigenvalue estimation. Moreover, the link adaptive techniques, such as adaptive modulation and dynamic detect algorithm selection, are combined with the AS algorithm to increase the data rate or improve the bit error rate （BER） performance. Simulation results demonstrate that higher data rate and better BER characteristic can be obtained, even at high correlated MIMO channels.