Finally, the unknown location is estimated using the nearest neighbour method. After that, a compensation model is proposed to correct the RSSI. For precise identification of landmarks, an inertial measurement unit (IMU)-aided decision tree-based motion mode classifier is implemented. Then, an angle estimation method is proposed by leveraging the concept of landmark. Firstly, this study examines the effect of the user’s body on RSSI. The broad aim of this study is to mitigate the user’s body shadowing effect on RSSI to improve localisation accuracy. Localisation using body-mounted wearable devices introduces an additional source of error when calculating the RSSI, leading to the deterioration of localisation performance. However, the RSSI fingerprinting method is susceptible to lower accuracies because of the disturbance triggered by various factors from the indoors that influence the link quality of radio signals. Among the various methods for indoor localisation, received signal strength indicator (RSSI)-based fingerprinting attracts massive attention. Gps-info <- LTE Modem GPS information.Nowadays, location awareness becomes the key to numerous Internet of Things (IoT) applications. Signal-info <- LTE Modem signal information.ĭata-session-info <- LTE Modem data session information. Sim-info <- LTE Modem SIM card information.
Modem-details <- LTE Modem detailed information. Traffic-status <- LTE Modem traffic status. This article describes how to check the strength and other statistics of the SIM card (LTE/3g).įew commands to check the lte-modem stats:
In cases where the Internet cannot be accessed, consulting the carrier about APN and set the APN in LTE modem configuration is possible using the below command: Most LTE modems have a preset APN in the SIM card.Īs a result, the APN doesn't need to be set in FortiOS configuration.
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