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Synchronization of Multiple Independent Subarray Antennas: An Application for Angle of Arrival Estimation

机译:多个独立子阵列天线的同步:到达角估计的应用

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摘要

In this paper, we present a new algorithm to synchronize multiple individual receiving subarray antennas to form an augmented array antenna system. This augmented array antenna has a large antenna aperture that can be used for angle of arrival (AoA) estimations and it provides a better AoA estimation accuracy than the individual subarray antennas. The proposed algorithm synchronizes the time and the frequency of the different subarray antennas, using a joint maximum likelihood (ML) optimization for a data-aided received signal. The phase coherency between the subarray antennas is achieved by using a combination of the least mean square and ML algorithms. The experimental results and the simulation example show that the proposed algorithm: 1) is stable in estimating the augmented array antenna pattern; 2) provides more accurate AoA estimations than the individual subarray antennas; 3) has no limitation to the structure of the augmented array antenna in space; and 4) converges very fast. Furthermore, the experimental results prove the feasibility of using AoA estimation techniques for Internet of Things localization in outdoor environments.
机译:在本文中,我们提出了一种新的算法来同步多个单独的接收子阵列天线,以形成增强型阵列天线系统。这种增强型阵列天线具有较大的天线孔径,可用于到达角(AoA)估计,并且与单个子阵列天线相比,它提供了更好的AoA估计精度。所提出的算法使用联合最大似然(ML)优化数据辅助接收信号来同步不同子阵列天线的时间和频率。子阵列天线之间的相位相干性是通过使用最小均方和ML算法的组合来实现的。实验结果和仿真算例表明,所提出的算法:1)在估计增强阵列天线方向图时稳定。 2)提供比单个子阵列天线更准确的AoA估计; 3)对空间中增强阵列天线的结构没有限制;和4)收敛非常快。此外,实验结果证明了在室外环境中使用AoA估计技术进行物联网定位的可行性。

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