A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication

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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.

Original languageEnglish
Title of host publication2023 IEEE Globecom Workshops, GC Wkshps 2023
Number of pages6
ISBN (Electronic)979-8-3503-7021-8
Publication statusPublished - 21 Mar 2024
MoE publication typeA4 Conference publication
EventIEEE Globecom Workshops - Kuala Lumpur, Malaysia
Duration: 4 Dec 20238 Dec 2023

Publication series

Name2023 IEEE Globecom Workshops, GC Wkshps 2023


WorkshopIEEE Globecom Workshops
Abbreviated titleGC Wkshps
CityKuala Lumpur


  • Backscatter communication
  • device-free localization
  • human presence detection
  • received signal strength


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