Kalman Filtering Behind the Dashboard: Sensor Fusion Algorithms for Direct TPMS

Direct TPMS sensors trade transmission frequency for battery life, leaving fusion software to bridge the gap between infrequent radio updates and the continuous pressure signal that vehicle systems expect.

Modeling Tire Thermodynamics Between Transmissions

Because a sensor may transmit only once every 60 to 90 seconds while stationary, the fusion engine predicts pressure drift between packets using the ideal gas law and a thermal model of the tire cavity, then corrects that prediction whenever a fresh RF measurement arrives, in a standard predict-update Kalman cycle.

Handling Rapid Pressure Loss and Adaptive Transmission Rates

When onboard sensor accelerometers detect a rapid pressure drop, they switch to a fast transmission mode, sending updates every few seconds instead of every minute. Fusion software must detect this mode transition and shorten its filter's trust window accordingly, so a genuine blowout is reported within seconds rather than being smoothed away as sensor noise.

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