近场传感：一种低复杂度的波数域定位方法

IF 5.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Wireless Communications Letters Pub Date : 2025-01-14 DOI:10.1109/LWC.2025.3529823

Hao Jiang;Zhaolin Wang;Yuanwei Liu

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引用次数: 0

摘要

提出了一种低复杂度的近场传感波数域定位方法。具体来说，在波数域中，功率集中区域是稀疏的，并且与目标的位置密切相关。然而，这种关系是复杂而隐含的。为了解决这个问题，采用双向卷积神经网络（BiCNN）架构来捕获潜在的关系，实现低复杂度、无网格的目标定位。仿真结果表明，与现有的网格上多信号分类（MUSIC）算法相比，BiCNN方法在获得较高准确率的同时显著降低了计算复杂度。

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

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.

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来源期刊

IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering

CiteScore

12.30

自引率

6.30%

发文量

481

期刊介绍： IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.