A Tensor-based Localization Framework Exploiting Phase Interferometry
Measurements
Abstract
In this paper, a framework for localization of multiple co-channel
transmitters using phase difference measurements between two antennas
mounted on sensors of a sensor network is proposed. To pursue
localization, we equip each sensor with two antennas and we use temporal
cross-correlations between the received signals of the {two} antennas
to extract the phase differences between each antenna pairs, named as
phase interferometry measurements (PIMs), provoked by each
{transmitters} using tensor decomposition. We calculate Cramer-Rao
lower bound of error of localization using PIMs. Our simulation results
show that highly accurate estimations can be achieved using PIMs. We
also compare the accuracy of our proposed technique with a sensor
network that exploits highly directional linear array antennas and show
that {our} proposed technique can perform similar to a network that
employs very large antenna arrays.