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access icon free Indoor passive localisation based on reliable CSI extraction

© The Institution of Engineering and Technology
Received 19/02/2018, Accepted 28/03/2019, Revised 01/03/2019, Published 29/03/2019

In indoor environment, passive human detection and localisation are important enabling technologies for elder healthcare, emergence rescue and target tracking applications. Recently, the fine-grained channel state information (CSI) of Wi-Fi was adopted for indoor localisation due to the low-cost Wi-Fi network interface card and available firmware modifications for CSI extraction. However, due to multipath fading and spatial-temporal dynamics of wireless channel, stable CSI extraction is a challenging task to achieve reliable CSI fingerprint matching. In this study, the sensitivity of CSI is first analysed and stable CSI fingerprints can be obtained by reducing the variance from interference and white noise. The stable CSI fingerprints are then classified by quadratic discriminant analysis to achieve location matching. Extensive experiments have been conducted to justify the system performance. The results reveal that the proposed indoor passive localisation system outperforms passive CSI-MIMO system in terms of performance.

Inspec keywords: wireless channels; network interfaces; wireless LAN; firmware; indoor radio; target tracking

Other keywords: important enabling technologies; indoor environment; spatial-temporal dynamics; passive CSI-MIMO system; passive human detection; reliable CSI extraction; available firmware modifications; fine-grained channel state information; indoor localisation; emergence rescue; wireless channel; elder healthcare; target tracking applications; low-cost Wi-Fi network interface card; reliable CSI fingerprint matching; indoor passive localisation system; stable CSI fingerprints; stable CSI extraction

Subjects: Network interfaces; Other topics in statistics; Computer communications; Local area networks; Radio links and equipment

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