2020 IEEE International Symposium
on Information Theory
21-26 June 2020 • Los Angeles, California, USA
| Paper ID | E.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. | ||
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia
