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Fast Angle-of-Arrival Estimation via Virtual Subarrays in Analog Antenna Array

机译:通过模拟天线阵列虚拟子阵列快速到达角度估计

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摘要

Angle-of-arrival (AoA) estimation is a challenging problem for analog antenna arrays. Typical schemes use time-consuming beam scanning, and the resolution is limited to the scanning beam width. In this paper, we propose a virtual-subarray based AoA (ViSA) estimation scheme, which divides an analog array into two virtual subarrays and exploits phase difference between one pair of measurements for AoA estimation. The basic ViSA algorithm can obtain a direct AoA estimate from every two temporal measurements. We propose different subarray constructions which can lead to different accuracy of estimation. We provide closed-form expressions for the statistics of the estimation error. Based on the basic ViSA estimator, we develop two methods to combine multiple pairs of measurements, when they are obtained via sequential and multi-resolution scanning, respectively. Near-optimal estimators are derived for both methods, employing the maximum likelihood principle. Novel techniques are also proposed to address the typical phase ambiguity problem due to the periodic phase function. Simulation results demonstrate that the proposed scheme significantly outperforms existing ones.
机译:到达角度(AOA)估计是模拟天线阵列的一个具有挑战性的问题。典型的方案使用耗时的光束扫描,并且分辨率限于扫描光束宽度。在本文中,我们提出了一种基于虚拟子阵列的AOA(VISA)估计方案,其将模拟阵列划分为两个虚拟子阵列,并利用一个对AOA估计的一对测量之间的相位差。基本VISA算法可以从每两个时间测量获得直接AOA估计。我们提出了不同的子阵列结构,其可能导致不同的估计准确性。我们为估计误差的统计数据提供封闭式表达式。基于基于基本Visa估计,我们开发了两种方法来组合多对测量,当通过顺序和多分辨率扫描获得时。近最优估算器用于两种方法,采用最大似然原理。还提出了一种新颖的技术来解决由于周期性相位函数引起的典型相模糊问题。仿真结果表明,该方案显着优于现有的方案。

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