Semi-Blind Multi-Tag Ambient Backscatter Communications Using Radar Signals

In this work, we consider a backscatter communication system wherein multiple asynchronous sources (tags) exploit the reverberation generated by a nearby radar transmitter as an ambient carrier to deliver a message to a common destination (reader) through a number of available subchannels. We propose a new encoding strategy wherein each tag transmits both pilot and data symbols on each subchannel and repeats some of the data symbols on multiple subchannels. We then exploit this signal structure to derive two semi-blind iterative algorithms for joint estimation of the data symbols and the subchannel responses that are also able to handle some missing measurements. The proposed encoding/decoding strategies are scalable with the number of tags and their payload and can achieve different tradeoffs in terms of transmission and error rates. Some numerical examples are provided to illustrate the merits of the proposed solutions.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2024-11-05
DOI
https://doi.org/10.1109/twc.2024.3487763
Citations
2
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.42

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article

Semi-Blind Multi-Tag Ambient Backscatter Communications Using Radar Signals

Jeremy Johnston, Emanuele Grossi, Luca Venturino, Marco Lops et al.
2 citations
IEEE Transactions on Wireless Communications
Energy Harvesting in Wireless Networks
0.42
article

Semi-Blind Multi-Tag Ambient Backscatter Communications Using Radar Signals

Jeremy Johnston, Emanuele Grossi, Luca Venturino, Marco Lops, Xiaodong Wang
article en
2 citations

Abstract

In this work, we consider a backscatter communication system wherein multiple asynchronous sources (tags) exploit the reverberation generated by a nearby radar transmitter as an ambient carrier to deliver a message to a common destination (reader) through a number of available subchannels. We propose a new encoding strategy wherein each tag transmits both pilot and data symbols on each subchannel and repeats some of the data symbols on multiple subchannels. We then exploit this signal structure to derive two semi-blind iterative algorithms for joint estimation of the data symbols and the subchannel responses that are also able to handle some missing measurements. The proposed encoding/decoding strategies are scalable with the number of tags and their payload and can achieve different tradeoffs in terms of transmission and error rates. Some numerical examples are provided to illustrate the merits of the proposed solutions.

IEEE Transactions on Wireless CommunicationsVol. 23(12)
Università degli studi di Cassino e del Lazio Meridionale (IT), Columbia University (US)
European Commission, Division of Electrical, Communications and Cyber Systems
Affordable and clean energy
Openalex Percentile: Top 37%
Energy Harvesting in Wireless Networks
0.42
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Semi-Blind Multi-Tag Ambient Backscatter Communications Using Radar Signals — Jeremy Johnston, Emanuele Grossi, et al. · IEEE Transactions on Wireless Communications (2024) | TGRS Research Map | TGRS