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How to choose the "best" measurment (from a given set) as input for a kalman filter?

only residual but also uncertainty and represented as scalar value: $$\mathcal{L} = \frac{1}{\sqrt{2\pi S}}\exp [-\frac{1}{2}\mathbf y^\mathsf T\mathbf S^{-1}\mathbf y]$$ Problem: For an object tracking … of methods (you can google it and find more information): - Global nearest neighbour (in Euclidean space); - Global strongest neighbour; - Joint probability data association; - Multiple hypothesis tracking
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Structuring Kalman filter for tracking problem where only position is known

I'm new to Kalman filters I'm new too. I have no other information (for example, regarding velocity or acceleration). This is a common situation. The path of the target is completely random as it …
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