Near-field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms
Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric

TL;DR
This paper investigates near-field source tracking using large antenna arrays, deriving fundamental limits and evaluating practical Bayesian algorithms, showing high accuracy without wideband signals or synchronization.
Contribution
It introduces a new near-field tracking model for large arrays, derives the P-CRLB, and assesses Bayesian algorithms' performance under various conditions.
Findings
Positioning accuracy is high within the Fresnel region.
Loss of information outside Fresnel is mainly due to increased ranging error.
Bayesian tracking algorithms perform well without wideband signals or synchronization.
Abstract
Applications towards 6G have brought a huge interest towards arrays with a high number of antennas and operating within the millimeter and sub-THz bandwidths for joint communication and localization. With such large arrays, the plane wave approximation is often not accurate because the system may operate in the near-field propagation region (Fresnel region) where the electromagnetic field wavefront is spherical. In this case, the curvature of arrival (CoA) is a measure of the spherical wavefront that can be used to infer the source position using only a single large array. In this paper, we study a near-field tracking problem for inferring the state (i.e., the position and velocity) of a moving source with an ad-hoc observation model that accounts for the phase profile of a large receiving array. For this tracking problem, we derive the posterior Cram\'er-Rao Lower Bound (P-CRLB) and…
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