Abstract
Thanks to its ability to provide sub-meter level positioning accuracy, Ultrawideband (UWB) has found wide use in several wireless body area network (WBAN) applications such as ambient assisted living, remote patient management and preventive care, among others. In spite of the attractiveness of UWB, it is not possible to achieve this level of accuracy when the human body obstructs the wireless channel, leading to a bias in the Time of Flight (TOF) measurements, and hence a detection of position errors of several meters. In this paper, a study of how a sub-meter level of accuracy can be achieved after compensating for body shadowing is presented. Using a Particle Filter (PF), we apply UWB ranging error models that take into consideration the body shadowing effect and evaluate them through simulations and extensive measurements. The results show a significant reduction in the median position error of up to 75% and 82% for simulations and experiments, respectively, leading to the achievement of a sub-meter level of localization accuracy.
Highlights
With rapid developments of computer and miniaturization technologies, wearable sensors are becoming an important part of our daily lives
Based on the related work, we present a comprehensive study of how a sub-meter level of accuracy can be achieved after compensating for body shadowing for TAG mounted positions that are known to exclusively generate position errors beyond the acceptable 1m for UWB Time of Flight (TOF)
We develop a Particle filter (PF) that employs the relative heading angle (RHA) between the user, TAG, and ANC as well as the aforementioned models to mitigate the effect of the body shadowing
Summary
With rapid developments of computer and miniaturization technologies, wearable sensors are becoming an important part of our daily lives. It is necessary that body shadowing is mitigated or compensated so that it is possible to achieve a sub-meter level accuracy regardless of where the TAG is mounted on the user. 1) Have been performed for TAG mounted positions that can obtain sub-meter level accuracy without any body shadowing mitigation. Based on the related work, we present a comprehensive study of how a sub-meter level of accuracy can be achieved after compensating for body shadowing for TAG mounted positions that are known to exclusively generate position errors beyond the acceptable 1m for UWB TOF. In our previous work in [23], ranging error models that take into consideration the body shadowing effect were proposed for popular TAG mounted positions. The main contribution of this work rests on the mitigation of the body shadowing, returning the UWB accuracy to below 1m, regardless the presence of the human body that carries the UWB TAG
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