Near-Field Sensing: A Low-Complexity Wavenumber-Domain Positioning Method

Download PDF
Open Webpage

Hao Jiang, Zhaolin Wang, Yuanwei Liu

Published: 2025, Last Modified: 09 Jan 2026IEEE Wirel. Commun. Lett. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: A low-complexity wavenumber-domain positioning method is proposed for near-field sensing. Specifically, in the wavenumber domain, the power-concentrated region is sparse and closely related to the target’s position. However, this relationship is complex and implicit. To address this, a bi-directional convolutional neural network (BiCNN) architecture is employed to capture the underlying relationship, enabling low-complexity, gridless target positioning. The simulation results reveal that the BiCNN method significantly reduces the computational complexity compared to the existing on-grid multiple signal classification (MUSIC) algorithm while achieving high accuracy.