Two sensors have measurement errors that are Gaussian distributed with zero means and variances σ1^2 and σ2^2 respectively. two sensormeasurements x1 and x2 are combined to form a weighted avg x= ⍶x1+(1-⍶)x2, 0≤ ⍶ ≤1. Assuming that meaurement error of two sensors are uncorrelated, the weigting factor ⍶ that yields the smallest error variance of x is .
