Single-Sample Direction-of-Arrival Estimation for Fast and Robust 3D Localization With Real Measurements from a Massive MIMO System

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 d...

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Bibliographic Details
Main Authors: Mazokha, Stepan, Naderi, Sanaz, Orfanidis, Georgios I., Sklivanitis, George, Pados, Dimitris A., Hallstrom, Jason O.
Format: Conference Proceeding
Language:English
Subjects:
Antenna measurements
Direction-of-arrival
Direction-of-arrival estimation
Estimation
Location awareness
Massive MIMO
OFDM
POWDER-RENEW
source localization
streetscape IoT
Urban areas
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Summary: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.
ISSN:2379-190X
DOI:10.1109/ICASSP49357.2023.10096647