中文摘要：

MIMO系统接收端信号之间的相关性严重影响了均衡效果,为此提出一种基于多输入单输出均衡器的变步长修正常模盲均衡算法（MISO-VSS-MCMA）。该算法可以克服信号相位偏转,并能有效抑制用户间干扰;其中误差切换指数型变步长因子可以改善由MISO均衡器之间的信号处理过程所引起的收敛速度下降的问题。仿真表明,与传统的MIMO-MCMA算法相比,基于MISO结构的均衡算法剩余误码率大幅降低,并且变步长因子加快了算法的收敛速度,均衡效果更佳。

英文摘要：

In order to overcome the correlation between the received signals of the MIMO system which seriously affected the performance of the equalizer, this paper proposed a MISO-VSS-MCMA. The algorithm could overcome the phase rotation of sig- nals, and effectively suppress interference between the users. Index variable step size factor in this algorithm which switched according to the error could improve convergence problem of declining which caused by the signal processing between MISO equalizers. Simulation results show that compared with the traditional algorithm, residual error rate of algorithm based on MISO gets its greatly reduced, moreover, new algorithm performs better because that variable step size factor can accelerate the con- vergence speed.