GPS Data with Kalman Filtering

How Kalman Filtering Works for GPS Data

The Kalman filter is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more precise than those based on a single measurement alone.

In this simulation:

• The blue circle represents the true position
• The red circles show individual noisy GPS measurements
• The green circles show the Kalman filter's estimated position

Adjust the noise level to see how the filter performs under different conditions. The filter strength parameter controls how aggressively the filter smooths the data.