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Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces

Publication ,  Conference
Centers, J; Krolik, J
Published in: Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
January 1, 2022

Vibrational radar backscatter communication (VRBC) performs millimeter-wave radar vibrometry to receive message signals from digitally modulated vibrating surfaces. For anything-to-vehicle communication, VRBC is a scalable, low-latency approach which leverages existing automotive radars. The number of VRBC channels for a given vehicle depends only on the ability of the radar to spatially isolate the various modulating surfaces as determined by its range and bearing resolution. For an increased signal-to-noise ratio (SNR), larger displacement caused by resonant vibrating surfaces is desirable. However, resonances also induce intersymbol interference (ISI), which introduces more errors during message decoding. This paper addresses the problem of ISI in VRBC by modeling effects of this resonant behavior and performing Viterbi sequence estimation. We model displacements as a linear time-invariant (LTI) filter, dependent on the material properties and boundary conditions of the surface, acting on the vibrational excitation. Vibrational displacement is then mapped to the slow-time phase trajectory of the radar return at the range and bearing of the surface. To mitigate ISI, we implement sequence detection via the Viterbi algorithm for M-ary signaling, which can account for the use of line codes that limit the number of potential interfering symbols. Results demonstrating the benefits of sequence detection are compared to symbol-by-symbol maximum likelihood detection.

Duke Scholars

Published In

Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

DOI

EISSN

2151-870X

ISBN

9781665406338

Publication Date

January 1, 2022

Volume

2022-June

Start / End Page

71 / 75
 

Citation

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Centers, J., & Krolik, J. (2022). Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces. In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (Vol. 2022-June, pp. 71–75). https://doi.org/10.1109/SAM53842.2022.9827869
Centers, J., and J. Krolik. “Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces.” In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022-June:71–75, 2022. https://doi.org/10.1109/SAM53842.2022.9827869.
Centers J, Krolik J. Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces. In: Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2022. p. 71–5.
Centers, J., and J. Krolik. “Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces.” Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2022-June, 2022, pp. 71–75. Scopus, doi:10.1109/SAM53842.2022.9827869.
Centers J, Krolik J. Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2022. p. 71–75.

Published In

Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

DOI

EISSN

2151-870X

ISBN

9781665406338

Publication Date

January 1, 2022

Volume

2022-June

Start / End Page

71 / 75