摘要
针对多输入-多输出(MIMO)系统接收端信号之间的相关性影响其盲均衡效果的问题,提出一种级联的多输入单输出(MISO)均衡器。每级MISO均衡器恢复一个发射信号,之后利用信道估计算法对混合信号进行修改,修改后传递到下一级MISO均衡器进行类似的处理。通过原理分析以及性能仿真可见,级联的MISO均衡器能够克服信号相关性对均衡效果的不良影响,与传统MIMO均衡器相比,算法收敛后信号星座点更集中,全局用户间总干扰比也更低;并且下一级MISO均衡器的均方误差低于上一级。
Inter-users interference in the receiving ends affected the traditional equalization for multiple-input multiple-output （MIMO） system. In order to reducing the harmful effect, a new MIMO equalization scheme was proposed, which applied individual multiple-input single-output （MISO） equalizers to recover all the signal sources. Each MISO equalizer recovered one signal source, and then modified the received data stream by removing the information of the latest recovered signal source using a channel estimator, before it was input to the next MISO equalizer. Then repeating this process until all the signal sources had been recovered. Through analyzing the struc- ture and principle of the cascading MISO equalizers, and comparing the simulation results of this new and the tradi- tional MIMO equalizer, it can be found that, the cascading MISO equalizers could overcome the adverse effect of correlation between the mixed receiving signals, its signal constellation points were more concentrated after conver- gence, and the global inter-user interference was also lower than the traditional one. On the other hand, the mean square error of next MISO equalizer is less than the previous one.
出处
《科学技术与工程》
北大核心
2014年第3期45-48,共4页
Science Technology and Engineering
基金
国家自然科学基金项目(61203273)资助
