LoRay: AoA Estimation System for Long Range Communication Networks

In this paper, we introduce a comprehensive angle of arrival (AoA) estimation solution for the long range (LoRa) communication network. Termed the LoRa array (LoRay), the proposed system constitutes hardware and software solutions to estimate the AoA of the received signals in real life urban enviro...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2021-03, Vol.20 (3), p.2005-2018
Main Authors: BniLam, Noori, Joosens, Dennis, Aernouts, Michiel, Steckel, Jan, Weyn, Maarten
Format: Article
Language:English
Subjects:
Algorithms
Angle of arrival
Antenna arrays
AoA
Communication networks
Communications systems
direction finding
direction of arrival
DoA
Estimation
Hardware
IoT localization
Line of sight
LoRa
LoRaWAN
LPWAN
outdoor AoA estimation
Receiving antennas
Software
Software algorithms
Software radio
Urban areas
Urban environments
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Summary:In this paper, we introduce a comprehensive angle of arrival (AoA) estimation solution for the long range (LoRa) communication network. Termed the LoRa array (LoRay), the proposed system constitutes hardware and software solutions to estimate the AoA of the received signals in real life urban environments. The hardware solution is based on converting multiple individual software defined radios (SDR) into a single SDR that consists of multiple RF-channels. The proposed hardware is cost effective, flexible and generic. The software solution, on the other hand, utilizes the space alternating generalized expectation-maximization (SAGE) algorithm to estimate the AoA of highly correlated received signals. The proposed software exploits few samples of the received signal to estimate the AoA of the direct and reflected paths in an intensive multipath environment. The LoRay system has been validated in outdoor urban environments. The experimental results show that the proposed system provides stable and accurate AoA estimates for both the line-of-sight (LoS) and the non-line-of-sight (NLoS) conditions. The AoA of 80% of the received signals have been estimated within an estimation error below 2° and 10° for the LoS and the NLoS locations, respectively.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3038565