Inertial Navigation Systems (INS): Accelerometer, Gyroscope IMUs & Extended Kalman Filtering
Overcoming GPS signal loss in tunnels and urban canyons: 6-DoF MEMS inertial measurement units, sensor drift integration, and Kalman sensor fusion algorithms.
When mobile devices enter GPS-denied environments like underground transit tunnels, Inertial Navigation Systems (INS) estimate continuous movement vectors from internal MEMS sensors.
1. Sensor Fusion with Extended Kalman Filters (EKF)
The Kalman Filter Prediction-Update Loop
An Extended Kalman Filter combines noisy high-frequency IMU acceleration data with intermittent absolute GNSS fixes, calculating an optimal state estimate that minimizes cumulative sensor drift error.
Mobile Telecommunications & Network Security Review Board
Our engineering panel audits cellular base station timing, GNSS multi-constellation physics, SS7 signaling defenses, and enterprise MDM telemetry standards.
Deploying Enterprise Mobile Fleet Telematics?
Explore zero-touch MDM enrolment, battery-efficient geofencing, and lawful device management architectures.