Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems
Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems
复制标题
时变互易 MIMO 系统中的联合数据检测和主导奇异模式估计
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
C. Murthy
中科院分区：
文献类型：
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作者：
Ranjitha Prasad;B. Bharath;C. Murthy
本文提出了一种时分双工多输入多输出波束形成系统的发射端和接收端对时变信道的主奇异模进行联合数据检测和跟踪的算法。提出的方法是一种改进的期望最大化算法，它利用一个初始估计，以跟踪信道的主导模式在发射机和接收机盲，并同时检测未知数据。此外，为了提高跟踪性能和减轻误差传播的影响，估计被约束在先前估计的置信区间内。蒙特-卡罗仿真结果的符号错误率和均方内积之间的估计和真实的奇异向量绘制显示所提出的方法相比，现有的技术提供的性能优势。
This paper proposes an algorithm for joint data detection and tracking of the dominant singular mode of a time varying channel at the transmitter and receiver of a time division duplex multiple input multiple output beamforming system. The method proposed is a modified expectation maximization algorithm which utilizes an initial estimate to track the dominant modes of the channel at the transmitter and the receiver blindly; and simultaneously detects the unknown data. Furthermore, the estimates are constrained to be within a confidence interval of the previous estimate in order to improve the tracking performance and mitigate the effect of error propagation. Monte-Carlo simulation results of the symbol error rate and the mean square inner product between the estimated and the true singular vector are plotted to show the performance benefits offered by the proposed method compared to existing techniques.