Polarization Diversity-enabled LOS/NLOS Identification via Carrier Phase Measurements
Onel L. A. L\'opez, Dileep Kumar, Antti T\"olli

TL;DR
This paper introduces a polarization-based classifier for distinguishing LOS from NLOS links in wireless networks using carrier phase measurements, enhancing localization accuracy by exploiting polarization effects.
Contribution
It proposes a novel threshold-based LOS/NLOS classifier leveraging polarization diversity and differential carrier phase measurements, with a performance assessment framework.
Findings
Classifier performs better with wooden reflectors than metallic ones.
Full polarization diversity improves classification accuracy.
Optimal threshold inversely related to path power gain in dB.
Abstract
The provision of accurate localization is an increasingly important feature of wireless networks. To this end, a reliable distinction between line-of-sight (LOS) and non-LOS (NLOS) radio links is necessary to avoid degenerative localization estimation biases. Interestingly, LOS and NLOS transmissions affect the polarization of the received signals differently. In this work, we leverage this phenomenon to propose a threshold-based LOS/NLOS classifier exploiting weighted differential carrier phase measurements over a single link with different polarization configurations. Operation in either full or limited polarization diversity systems is possible. We develop a framework for assessing the performance of the proposed classifier, and show through simulations the performance impact of the reflecting materials in NLOS scenarios. For instance, the classifier is far more efficient in NLOS…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
