Indoor Human Localization Using Electrostatic Sensors and Compressive Sensing Techniques

IF 5.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-02-13 DOI:10.1109/TIM.2025.3541777

Yonghui Hu;Yi Li;Junkai Wang;Yong Yan

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引用次数: 0

Abstract

Indoor human localization is of great significance in a variety of applications, including navigation, healthcare, security, and many other location-based services. This article presents a passive indoor localization method that exploits the varying electric fields naturally generated by human activities. An array of electrostatic sensors capable of passive, long-range sensing is developed using charge amplifiers. Human localization is formulated as an inverse problem that aims to reconstruct the charge distribution within the target area from sensor measurements. The spatial sensitivity matrix is preprocessed using QR factorization, and then, compressive sensing is used to find the sparse solution. Experiments were conducted in an office environment of

$4.2\times 4.2$

m. Results obtained show that the localization accuracy is location-dependent and a median error less than 0.26 m has been achieved. Although the sensor signals are vulnerable to a variety of factors, the localization method exhibits strong robustness against environmental and subject changes.

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来源期刊

IEEE Transactions on Instrumentation and Measurement 工程技术-工程：电子与电气

CiteScore

9.00

自引率

23.20%

发文量

1294

审稿时长

3.9 months

期刊介绍： Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.