Single-Sample Direction-of-Arrival Estimation for Fast and Robust 3D Localization With Real Measurements from a Massive MIMO System
Single-Sample Direction-of-Arrival Estimation for Fast and Robust 3D Localization With Real Measurements from a Massive MIMO System
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DOI：
10.1109/icassp49357.2023.10096647
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发表时间：
2023-06
期刊：
影响因子：
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通讯作者：
Stepan Mazokha;Sanaz Naderi;Georgios I. Orfanidis;G. Sklivanitis;D. Pados;J. Hallstrom
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文献类型：
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作者：
Stepan Mazokha;Sanaz Naderi;Georgios I. Orfanidis;G. Sklivanitis;D. Pados;J. Hallstrom
快速、鲁棒、高精度的定位是街景通信网络和下一代联网自主代理中未来位置感知应用的关键推动因素。具体地，大规模多输入多输出（MIMO）天线系统由于高角度分辨率而受到越来越多的关注。然而，在密集的多径环境中，如城市地区，纯粹的方向的到达（DoA）为基础的技术已经不是很受欢迎，由于大的定位误差在本文中，我们提出和评估，从POWDER-RENEW平台的真实的测量，一种新的方法来进行DoA估计从一个天线阵列快照。这些测量是从基于大规模MIMO正交频分复用（OFDM）系统的室内测试平台上进行的。实验结果-在空间混叠的存在下-表明，对于某些发射器的位置，我们提出的通用单次DoA估计优于方位角/仰角精度的最先进的基于子空间的方法，涉及收集足够大的数据记录的天线阵列快照。
Fast, robust, high-accuracy localization is a key enabler for future location-aware applications in streetscape communication networks and next-generation networked autonomous agents. Specifically, massive multiple-input and multiple-output (MIMO) antenna systems have received increasing attention due to high angular resolution. However, in dense multipath environments, such as urban areas, pure direction-of-arrival (DoA)-based techniques have not been very popular due to large localization errors.In this paper, we present and evaluate, on real measurements from the POWDER-RENEW platform, a novel method to carry out DoA estimation from just one antenna array snapshot. The measurements are taken from an indoor testbed that is based on a massive MIMO orthogonal frequency-division multiplexing (OFDM) system. Experimental results – in the presence of spatial aliasing – show that for certain emitter locations our proposed universal one-shot DoA estimator outperforms in azimuth/elevation accuracy state-of-the-art subspace-based methods that involve collection of a sufficiently large data record of antenna array snapshots.