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Comparison of Two Baseline AoA Estimation Methods in a EM Lens Assisted MAA System

机译:EM镜头辅助MAA系统中两种基线AoA估计方法的比较

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The fifth generation (5G) of wireless systems will implement new groundbreaking technologies, for instance, massive multiple-input-multiple-output (MIMO) transmission. Such systems, by deploying massive antennas array (MAA), can enhance the data communication performance as well as offer precise radio localization based on angle of arrival (AoA) estimation. This paper considers two baseline AoA estimation techniques, namely complex conjugate AoA estimation and sum-difference patterns, when used in the electromagnetic (EM) lens assisted MAA system. Due to the property of the EM lens to focus the received signal on a small subset of antennas, these schemes can be implemented in the MAA system with reduced computational complexity using a fully digital or a mixed analog-digital structure. The presented techniques estimate the AoA of a received signal by exploiting two elements of the focused subset of antennas and alleviate the need of using high-resolution algorithms which form the high dimensional covariance and eigenvalue decomposition matrices. The obtained simulation results are comparable to the conventional algorithms without lens, despite significantly reducing the overall system complexity.
机译:第五代(5G)无线系统将实现新的突破性技术,例如大规模多输入多输出(MIMO)传输。通过部署大型天线阵列(MAA),此类系统可以增强数据通信性能,并基于到达角(AoA)估计提供精确的无线电定位。本文考虑了在电磁(EM)透镜辅助的MAA系统中使用的两种基线AoA估计技术,即复共轭AoA估计和和差模式。由于EM镜头具有将接收到的信号聚焦在天线的一小部分子集中的特性,因此可以使用全数字或混合模拟数字结构在MAA系统中以降低的计算复杂度来实现这些方案。提出的技术通过利用天线聚焦子集的两个元素来估计接收信号的AoA,并减轻了使用形成高维协方差和特征值分解矩阵的高分辨率算法的需要。尽管显着降低了整个系统的复杂度,但获得的仿真结果与不带透镜的常规算法相当。

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