PCA-Based inversion of WiFi signal for robust device-free indoor target detetion
| Autor: | Alessandro Polo, Mohammad Abdul Hannan, Federico Viani, Baozhu Li, Marco Salucci, Giorgio Gottardi |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1476:012015 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1476/1/012015 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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