摘要
多输入多输出(MIMO)技术能够在不增加系统带宽的情况下,有效提高系统容量和传输可靠性,满足人们对于数据传输速率和可靠性的要求。时分双工(TDD)MIMO系统相对于频分双工(FDD)MIMO系统而言,一个主要的优势就是上下行信道的互易性。文中分析了信道时变对于TDD-MIMO-OFDM系统容量的影响,在此基础上,提出了一种基于压缩感知的信道互易性补偿方法。该方法主要利用信道的稀疏特性,运用压缩感知理论,通过改进的重构算法估计出信道特性,然后进行预测以补偿时变对信道互易性的影响。由仿真结果可看出,该方法可以有效地降低信道估计误差,补偿了由信道非互易性所产生的系统容量的降低,且复杂度较低。
Multiple-Input Multiple-Output （MIMO） is a kind of technology which can effectively improves the system capacity and transmission reliability without increasing the system bandwidth, satisfies the requirement of rate and reliability of transmission. Compared with the Frequency Division Duplex （FDD） MIMO systems, one of the main advantages of Time Division Duplex （TDD） M1MO sys- tems is the channel reciprocity. In this paper,the influence of channel non-reciprocity caused by time-variations on the capacity of MIMO systems is analyzed and a compensation method based on Compressive Sensing （ CS ） is proposed. Based on compressive sensing theory, the proposed method uses an improved reconstruction algorithm to estimate the channel response, and then prediction is made to compen- sate for channel non-reciprocity caused by time-varying. According to the simulation results, the proposed method can efficiently reduce the estimation error and remedy the system capacity with a low complexity.
出处
《计算机技术与发展》
2015年第12期210-215,共6页
Computer Technology and Development
基金
国自基金国家重大科研仪器研制项目(61427801)
国家"863"高技术发展计划项目(2014AA01A705)
南京邮电大学项目(NY211033)
关键词
信道互易性
压缩感知
信道预测
系统容量
channel reciprocity
compressive sensing
channel prediction
system capacity
作者简介
孙君（1980-），女，硕士研究生导师，研究方向为无线通信；
孙照伟（1991-），男，硕士研究生，研究方向为无线通信。
