Technical Program

Paper Detail

Paper IDE.4.2
Paper Title "Wireless Paint": Code Design for 3D Orientation Estimation with Backscatter Arrays
Authors Kenneth Chang, University of California, Los Angeles, United States; Nathaniel Raymondi, Ashutosh Sabharwal, Rice University, United States; Suhas Diggavi, University of California, Los Angeles, United States
Session E.4: Estimation and Applications
Presentation Lecture
Track Detection and Estimation
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract In this paper, we consider the problem of estimating the orientation of an object that has been custom-"painted" by an array of backscatter tags. We pose the problem as a coding matrix design with the objective of minimizing orientation estimation error. We show that it is only necessary to consider a subset of code configurations and provide a tractable linear program to find the optimal coding strategy. We provide simulation results using an icosahedral tag arrangement.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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