Improved AoA based localization of UHF RFID tags using spatial diversity

Abstract

In a recent paper we presented new measurement results for an angle of arrival based approach to localize UHF RFID transponders in an indoor environment with off-the-shelf IDS R901G RFID reader ICs and UPM Raflatac DogBone RFID transponders. We were able to localize the transponders with a mean accuracy of 0.21 m using three antenna array positions for triangulation in a 3 m x 3 m room. In this paper we present an RSS based algorithm to select a special subset of antenna array positions for the estimation of the transponder position in a measurement setup with five different antenna array positions. With this algorithm a reduction of the mean measurement error by 50% was achieved for the considered test grid compared to the original approach in [1].

RFID Localisation for Internet of Things Smart Homes : A Survey

“…A: no synchronization required D: multipath reflections Azzouzi et al [25] Scene Analysis (fingerprint) ** (Refer to Table 2) 2D,3D…”

RFID Localization Using Angle of Arrival Cluster Forming

“…When the two detectors are placed beside each other as in [6,7,21], the phase estimation error has a significant impact on the location estimation.…”

RFID localisation using special antenna technique

“…So far the research and development of the RFID-based localization techniques focus on their indoor applications. These techniques include the angle-related measurements such as Angle of Arrival (AoA) (Cremer et al, 2015;Azzouzi et al, 2011;Kulakowski et al, 2010) and the distance-related measurements such as Received Signal Strength Indicator (RSSI) (Zhang et al, 2014;Sansanayuth et al, 2013;Ni et al, 2011), Time Difference of Arrival (TDoA) (Popa et al, 2010;Bailey at al., 2007), Phase of Arrival (PoA) Scherhaufl et al, 2013) and Phase-Difference-of-Arrival (PDoA) (Gortschacher et al, 2016;. Although different approaches have been studied, these techniques still encounter some problems such as greater complexity of practical implementation, higher cost and lower accuracy, which have limited their practical applications.…”