论文标题
大型MIMO系统的定位效率
Localization Efficiency in Massive MIMO Systems
论文作者
论文摘要
在下一代无线系统中，Massive Mimo提供了高角度分辨率用于定位。借助大量天线，可以高精度估算用户终端（UTS）的到达角度（AOA）。根据密集的多径组件（DMC）模型，UT周围的局部散射可以为基站（BS）的每个天线创建不同的多径信号。当考虑多径信号的贡献时，我们在多用户方案中获得了CRAMER-RAO下限（CRLB）的确定性形式。当多径信号独立并且具有任意分布的分布（I.I.D）时，我们会这样做。然后，我们重新定义了多用户方案的定位效率函数，并相对于（W.R.T）对天线的数量进行了数字优化。我们证明，只有使用可用天线的子集时，可以将CRLB最小化W.R.T，使用哪一组天线。然后，提出了将CRLB最小化的天线选择策略。作为基准，我们将提出的天线选择方案应用于多个信号分类（音乐）算法并研究其效率。数值结果验证了我们分析的准确性，并在采用了拟议的天线选择策略时显示出效率的显着提高。
In the next generation of wireless systems, Massive MIMO offers high angular resolution for localization. By virtue of large number of antennas, the Angle of Arrival (AoA) of User Terminals (UTs) can be estimated with high accuracy. According to Dense Multipath Component (DMC) channel model, local scatters around UTs can create different multipath signals for each antenna at the Base Station (BS). We obtain a deterministic form for the Cramer-Rao Lower Bound (CRLB) in a multi-user scenario when the contribution of the multipath signals is considered. We do this when the multipath signals are independent and identically distributed (i.i.d) with arbitrary distribution. Then, we redefine a localization efficiency function for a multi-user scenario and numerically optimize it with respect to (w.r.t) the number of antennas. We prove when only a subset of the available antennas is used, CRLB can be minimized w.r.t which set of antennas is used. Then, an antenna selection strategy that minimizes CRLB is proposed. As a benchmark, we apply the proposed antenna selection scheme to the MUltiple SIgnal Classification (MUSIC) algorithm and study its efficiency. Numerical results validate the accuracy of our analysis and show significant improvement in efficiency when the proposed antenna selection strategy is employed.
