Nonlinear Tracking Algorithms
Non-linear tracking algorithms use a Non-linear filter to cope with the situation where the measurements have a non-linear relationship to the final track coordinates, where the errors are non-Gaussian, or where the motion update model is non-linear. The most common non-linear filters are:
- the Extended Kalman filter
- the Unscented Kalman filter
- the Particle filter
Read more about this topic: Radar Tracker
Famous quotes containing the word tracking:
“Such is the art of writing as Dreiser understands it and practices it—an endless piling up of minutiae, an almost ferocious tracking down of ions, electrons and molecules, an unshakable determination to tell it all. One is amazed by the mole-like diligence of the man, and no less by his exasperating disregard for the ease of his readers.”
—H.L. (Henry Lewis)