A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication
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A4 Artikkeli konferenssijulkaisussa
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Date
2024-03-21
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en
Pages
6
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2023 IEEE Globecom Workshops, GC Wkshps 2023
Abstract
Backscatter communication (BC) can enable nar-rowband radio frequency (RF) sensing with lower power con-sumption and lower system complexity compared with conventional sensing systems with active transmitter-receiver (TX -RX) pairs. To integrate sensing in the BC scenario, this paper investi-gates the impact of human position on the received signal strength (RSS). We first derive a new RSS model for the BC scenario based on three states: non-fading, reflection, and shadowing, depending on the location of the person with respect to line-of-sight (LoS) link. We validate the model by indoor measurements and compare it with the three-state model of the active TX-RX scenario. The measurements show that the proposed model accurately predicts human-induced RSS changes. Furthermore, we observe that human-induced RSS variances in the BC scheme are higher than those in the TX-RX scenario, benefiting variance-based sensing methods. Therefore, the proposed model can be implemented in low-power BC-enabled device-free sensing applications, such as human presence detection and device-free localization.Description
Publisher Copyright: © 2023 IEEE.
Keywords
Backscatter communication, device-free localization, human presence detection, received signal strength
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Citation
Xie, B, Wang, X, Yiğitler, H, Ruttik, K & Jäntti, R 2024, A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication . in 2023 IEEE Globecom Workshops, GC Wkshps 2023 . 2023 IEEE Globecom Workshops, GC Wkshps 2023, IEEE, pp. 98-103, IEEE Globecom Workshops, Kuala Lumpur, Malaysia, 04/12/2023 . https://doi.org/10.1109/GCWkshps58843.2023.10465190