Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties

TL;DR

This paper presents a robust self-localization method for asynchronous wireless nodes that accounts for parameter uncertainties, demonstrating near-optimal performance through theoretical bounds and simulations.

Contribution

It introduces a novel localization approach that handles anchor position uncertainties and validates its effectiveness against the Cramér-Rao bound.

Findings

The proposed method is robust to anchor position uncertainties.

It achieves performance close to the theoretical Cramér-Rao bound.

Numerical simulations confirm the method's effectiveness.

Abstract

We investigate a wireless network localization scenario in which the need for synchronized nodes is avoided. It consists of a set of fixed anchor nodes transmitting according to a given sequence and a self-localizing receiver node. The setup can accommodate additional nodes with unknown positions participating in the sequence. We propose a localization method which is robust with respect to uncertainty of the anchor positions and other system parameters. Further, we investigate the Cram\'er-Rao bound for the considered problem and show through numerical simulations that the proposed method attains the bound.