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Multipath-Assisted On-Body Tag Localization

Liu, Xiaochen (2021) Multipath-Assisted On-Body Tag Localization.

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Abstract:Active human localization with on-body radio device may suffer from performance degradation, due to self-body blockage during body movement, subject to the placing of tag on body and the position of anchor. In this paper, we present a strategy to use multipath and inertia motion data for Non Line- of-Sight (NLoS) body localization. We use an ultra-wideband (UWB) off-the-shelf Decawave kit for channel impulse response (CIR) acquisition, where a two-antenna anchor is fixed in space and a single-antenna tag is placed on a person’s chest. The multipath is extracted from the CIR at each snapshot by the non- super-resolution CLEAN algorithm, and the extracted multipaths are tracked during the body movement in space. Two types of body motions are considered: translational linear movement and rotational spin movement. Both Line-of-Sight (LoS) and NLoS scenarios are incorporated in numerical analysis. The results show that the multipaths’ track could well resemble the ground truth. On the other hand, inertia motion data such as angular velocity and orientation are measured during the body movement using the Xsens wearable Inertia Measurement Unit (IMU) sensor. Combining the multipath parameters and motion data, body’s positions under NLoS are able to be estimated.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering MSc (60353)
Link to this item:http://purl.utwente.nl/essays/88799
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