论文标题
估计时变褪色通道的自回旋系数
On Estimating the Autoregressive Coefficients of Time-Varying Fading Channels
论文作者
论文摘要
正如先前的几项工作所指出的那样，多个输入多个输出系统中无线通道的演变可以有利地建模为自回归过程。因此，估计系数，尤其是该自回归过程的状态过渡矩阵是在快速褪色环境中准确估计，跟踪和预测的关键。在本文中，我们假设一个时间变化的空间不相关的通道，在丰富的散射环境中，在基站的天线间距大约是这种情况。我们为单个输入多重输出（SIMO）通道提出了一种自动回归参数估计方法。我们显示了估计的系数几乎可以确定的收敛，以大尺寸的真正自回旋系数。我们将建议的方法应用于Simo通道跟踪。
As several previous works have pointed out, the evolution of the wireless channels in multiple input multiple output systems can be advantageously modeled as an autoregressive process. Therefore, estimating the coefficients, and, in particular, the state transition matrix of this autoregressive process is a key to accurate channel estimation, tracking, and prediction in fast fading environments. In this paper we assume a time varying spatially uncorrelated channel, which is approximately the case with proper antenna spacing at the base station in rich scattering environments. We propose a method for autoregressive parameter estimation for the single input multiple output (SIMO) channel. We show an almost sure convergence of the estimated coefficients to the true autoregressive coefficients in large dimensions. We apply the proposed method to SIMO channel tracking.
