Unlabeled Sensing Using Rank-One Moment Matrix Completion

Abstract

We study the unlabeled sensing problem that aims to solve a linear system of equations $Ax=\ddot{I}€(y)$ for an unknown permutation $\ddot{I}€$. For a generic matrix $A$ and a generic vector $y$, we construct a system of polynomial equations whose unique solution satisfies $A\hat{I}{¾}^{\ast }=\ddot{I}€(y)$. In particular, $\hat{I}{¾}^{\ast }$ can be recovered by solving the rank-one moment matrix completion problem. We propose symbolic and numeric algorithms to compute the unique solution. Some numerical experiments are conducted to show the efficiency and robustness of the proposed algorithms.

19 pages, 6 tables