Work

A New Elliptical Model for Device-Free Localization

Year: 2025

Type: article

Abstract: Device-free localization (DFL) is a technology that identifies and tracks individuals by analyzing fluctuations in received signal strength (RSS), thus eliminating the requirement for any devices. As a rapidly developing and significant technology within WSNs, radio tomographic imaging (RTI) has garnered growing interest. However, there is significant potential for improving the accuracy of localization in RTI. To address this issue, we propose a novel DFL algorithm to improve the localization accuracy: this algorithm incorporates an enhanced method for channel choosing to gather data, along with a novel weighting model. The distance-based channel choosing method selects channels with stronger Pearson correlation, which enhances resilience to environmental fluctuations. The weighting model that has been proposed is based on the spatial positioning of voxels relative to sensors. The experimental results indicate that the proposed algorithm can enhance positioning accuracy by up to 26% relative to certain leading RTI approaches.

Source: IEEE Access

DOI: 10.1109/access.2025.3555569

Authors: Qian Lei, Mengna Fan, Shuilong Zou, Zunhai Gao

Institution: Nanchang Institute of Science & Technology

Language: English

Topic: Indoor and Outdoor Localization Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,075