Abstract
The localization of wireless devices in indoor scenarios presents a major challenge because of multipath propagation. Hence, the majority of the research community has focused on increasing the available bandwidth of localization systems, leading to the emergence of the ultra wide band (UWB) radar. However, the hardware implementation of UWB transceivers is challenging itself and, hence, their utilization in commercial low-cost wireless devices is not to be expected in the near future. Hence, instead of evaluating frequency dependent phases via UWB, the measurement of spatially distributed phases represents a valuable alternative. Therefore, this article presents a comparison of phase-difference-of-arrival (PDOA) and time-of-arrival (TOA) systems. For this purpose, we compare the measurement sensitivity, the effects of multipath propagation, and the hardware complexity. Based on the results, the applicability of typical position estimators is discussed. Thereby, we argue that PDOA-based localization with large receiver arrays appears to be the better choice to localize wireless devices, because it enables highly accurate positioning using narrow band signals without elaborated transmitter–receiver synchronization. To validate this, indoor localization measurements are presented and compared with UWB results in extant literature.
Highlights
Nowadays, wireless localization systems are used in various applications, such as navigation, industrial automation, automotive radar, and service systems in for example hospitals or museums [1]
MULTIPATH PROPAGATION PROPERTIES OF CIRCULAR WAVES IN LOCALIZATION SYSTEMS the effect of multipath propagation on indoor localization is discussed for TOA and PDOA systems
Since the measurement sensitivity of PDOA systems is high for beacons located close to the receiver, as discussed in Section II, they are very suitable for indoor localization systems
Summary
Wireless localization systems are used in various applications, such as navigation, industrial automation, automotive radar, and service systems in for example hospitals or museums [1]. The main contribution of this paper is a thorough assessment of PDOA and TOA based localization systems with respect to their measurement sensitivity, resistance against multipath propagation, hardware implementation complexity, and their interaction in 3D position estimation filters.
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