Coded Estimation: Design of Backscatter Array Codes for 3D Orientation Estimation

TL;DR

This paper introduces a novel method for designing backscatter tag response codes to enhance 3D object orientation estimation accuracy, supported by theoretical bounds and simulation results across various scenarios.

Contribution

It proposes two new code design criteria for backscatter tags and derives a lower bound on worst-case error, advancing 3D orientation estimation techniques.

Findings

Designed codes improve estimation accuracy in simulations

Theoretical bounds closely match simulation results

Performance varies with line-of-sight and multipath conditions

Abstract

We consider the problem of estimating the orientation of a 3D object with the assistance of configurable backscatter tags. We explore the idea of designing tag response codes to improve the accuracy of orientation estimation. To minimize the difference between the true and estimated orientation, we propose two code design criteria. We also derive a lower bound on the worst-case error using Le Cam's method and provide simulation results for multiple scenarios including line-of-sight only and multipath, comparing the theoretical bounds to those achieved by the designs.