Can you guess how GPS keeps us on track even when signals get noisy?
Kalman filter
Can you guess how GPS keeps us on track even when signals get noisy?
Imagine you're driving and your GPS suddenly starts showing erratic routes due to signal interference. You can't trust the directions it gives you.
Kalman filtering helps GPS by taking noisy signals and predicting the most likely position, smoothing out the erratic route suggestions.
Example
If your GPS receives a garbled signal that says you're 10 miles north but you know you're actually 5 miles north, Kalman filtering would help correct that error over time.
Remember this
Kalman filtering refines GPS accuracy by filtering out noise and predicting the best path forward.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
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