Pinching-Antenna Systems (PASS)-based Indoor Positioning

TL;DR

This paper introduces a PASS-based indoor positioning system utilizing pinching antennas and a novel RSSI method, demonstrating improved accuracy with multiple PAs and specific user locations.

Contribution

It proposes the first PASS-based indoor positioning model and an efficient RSSI method for distance measurement, enhancing positioning accuracy and robustness.

Findings

More PAs improve accuracy and robustness.

Performance gains plateau beyond a certain number of PAs.

User locations near PAs yield better accuracy.

Abstract

Pinching antenna (PA), a flexible waveguide integrated with dielectric particles, intelligently reconstructs line-of-sight channels. Utilizing its geometric deterministic model and meter-level reconstruction, PA systems (PASS) are applied to uplink indoor positioning. In this paper, the uplink positioning system model for PASS is firstly proposed. A PASS-based received signal strength indication (RSSI) method is proposed to measure the distance from the users to each PA, which is efficient and suitable for PASS. PASS-based weighted least squares (WLS) algorithm is designed to calculate the two-dimensional coordinates of the users. Several critical observations can be drawn from our results: i) More PAs on the waveguide improves the positioning accuracy and robustness. ii) When the number of PAs exceeds a certain threshold, the performance gain becomes marginal. iii) User locations between and near PAs yield superior positioning accuracy.