Near-Field Localization with $1$-bit Quantized Hybrid A/D Reception
Ioannis Gavras, Italo Atzeni, George C. Alexandropoulos
TL;DR
The paper tackles near-field UE localization using an extremely large DMA-based hybrid A/D receiver with 1-bit ADCs. It introduces a grid-search based method that, for each candidate UE location $(r,\theta,\varphi)$, constructs a virtual channel and optimizes the RX analog combiner to maximize $W_{RX}^H P_{RX}^H h_{hat}$, building a pseudo-spectrum over a 3D grid to identify the peak. Localization performance improves with larger DMA sizes and higher SNR, and the approach can outperform a baseline full-resolution MUSIC method when the metamaterial count is large, despite 1-bit quantization. The study highlights practical trade-offs between search overhead and DMA size, demonstrating viability for high-resolution sensing in THz-based 6G contexts.
Abstract
In this paper, we consider a hybrid Analog and Digital (A/D) receiver architecture with an extremely large Dynamic Metasurface Antenna (DMA) and an $1$-bit resolution Analog-to-Digital Converter (ADC) at each of its reception radio-frequency chains, and present a localization approach for User Equipment (UE) lying in its near-field regime. The proposed algorithm scans the UE area of interest to identify the DMA-based analog combining configuration resulting to the peak in a received pseudo-spectrum, yielding the UE position estimation in three dimensions. Our simulation results demonstrate the validity of the proposed scheme, especially for increasing DMA sizes, and showcase the interplay among various system parameters.
