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1. RFID Tag Localization With a Sparse Tag Array

   https://doi.org/10.1109/JIOT.2021.3137723  

   Yang, Chao; Wang, Xuyu; Mao, Shiwen (September 2022, IEEE Internet of Things Journal)
2. Collaborative Channel Estimation in Backscattering Tag-to-Tag Networks

   https://doi.org/10.1145/3360773.3360882  

   Ahmad, Abeer; Athalye, Akshay; Stanacević, Milutin; Das, Samir R. (January 2019, DFHS'19: Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing)
3. RF-based Analytics Generated by Tag-to-tag Networks

   https://doi.org/10.1109/ICASSP.2019.8682459  

   Stanacevic, M.; Karimi, Y.; Feng, G.; Ryoo, J.; Athalye, A.; Das, S.; Djuric, P. M. (May 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP))
4. Amplitude and Phase Estimation of Backscatter Tag-to-Tag Channel

   https://doi.org/10.1109/ISCAS48785.2022.9937436  

   Ahmad, Abeer; Sha, Xiao; Athalye, Akshay; Das, Samir; Djuric, Petar; Stanacevic, Milutin (May 2022, 2022 IEEE International Symposium on Circuits and Systems (ISCAS))

   Large scale networks of intelligent sensors that can function without any batteries will have enormous implications in applications that range from smart spaces to structural and environmental monitoring. RF tags present an amenable platform for sensor integration as the backscatter communication offers low energy cost of communication. Current RF tags either use extremely low-power sensors or perform tasks of tag localization and identification based on the strength of the backscatter signal. We present a technique for estimation of amplitude and phase of the tag-to-tag channel that can be performed with very limited computational and energy resources. This enables monitoring of the interactions between tagged objects and activities around tags, as well as assessment of a variety of engineering structures. Experimental results demonstrate high resolution in the amplitude and phase channel measurement at a distances ranging from 22 cm to 1.34 m. 

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   Lopez, Jeremy; Freeman, Guo (January 2022, Proceedings of the Annual Hawaii International Conference on System Sciences)