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Combining TDoA and AoA with a particle filter in an outdoor LoRaWAN network
2020
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Internet of Things (IoT) applications that value long battery lifetime over accurate location-based services benefit from localization via Low Power Wide Area Networks (LPWANs) such as LoRaWAN. Recent work on Angle Of Arrival (AoA) estimation with LoRa enables us to explore new optimizations that decrease the estimation error and increase the reliability of Time Difference Of Arrival (TDoA) methods. In this paper, particle filtering is applied to combine TDoA and AoA measurements that were
doi:10.1109/plans46316.2020.9110172
dblp:conf/plans/AernoutsBPPJBW20
fatcat:bixw6iomgbf27l7gpxjvzhelfq