PCA-Based inversion of WiFi signal for robust device-free indoor target detetion. (March 2020)

• Record Type: Journal Article
• Authors: Gottardi, Giorgio; Abdul Hannan, Mohammad; Li, Baozhu; Polo, Alessandro; Salucci, Marco; Viani, Federico
• Is Part Of: Journal of physics. Volume 1476(2020)
• Publication Date: 2020-03
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1476/1/012015
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The spatial and frequency diversity introduced by the recent WiFi standards based on orthogonal frequency-division multiplexing is exploited for the robust wireless detection of device-free targets 111 indoor environments. The arising inverse problem is solved by decomposing the channel state information by means of a customized strategy based on the principal component analysis (PCA) for extracting target-dependent, components from the WiFi signal. The experimental validation of the proposed solution pointed out a robust target detection with failure rates lower than 3 [%] using a single wireless link already deployed in a real office test, field.