MIMO通信系统信道参数的联合估计

Ji Li, J. Conan, S. Pierre
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引用次数: 56

摘要

在下一代移动通信系统中,如果在接收端和发射端都使用多个天线,将有望实现高数据速率和高容量。这种无线电传播信道构成多输入多输出(MIMO)系统。在无线MIMO系统中,将经典的信道参数估计方法扩展到空间和时间联合域,可以估计多径环境下的信道参数。本文提出了一种基于子空间的MIMO通信系统中数字调制多径信号的到达角(AOA)、出发角(AOD)和到达延迟(DOA)联合估计方法。该方法利用信道的时空流形向量的估计集合,利用Khatri-Rao积将估计的信道响应矩阵转移到经典模型中。仿真结果表明,该方法可以获得较高的信道参数分辨率,并且可以解析比阵列元数更多的多径分量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Estimation of Channel Parameters for MIMO Communication Systems
In the next generation mobile communication systems, high data rates and high capacity are expected if multiple antennas are used at both receive and transmit sides. Such a radio propagation channel constitutes a multiple-input multiple-output (MIMO) system. In a wireless MIMO system, it is possible to estimate channel parameters in a multipath environment by extending the classical parameter estimation methods to the joint space and time domain. In this paper, we propose a subspace-based approach to jointly estimate the angle-of-arrival (AOA), angle-of-departure (AOD) and delay-of-arrival (DOA) of digitally modulated multipath signals in MIMO communication systems. The novel approach uses a collection of estimates of a space-time manifold vector of the channel which utilizes a Khatri-Rao product to transfer the estimated channel response matrix to the classical model. Simulation results show that the proposed methods can achieve high resolution of channel parameters and resolve more multipath components than the number of array elements
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