Robust mean estimation for real-time blanking in radioastronomy

Radio astronomy observations suffer from strong interferences that need to be blanked both in the time and frequency domains. In order to achieve real-time computations, interference detection is made by simple thresholding. The threshold value is linked to the mean estimation of the power of clean observed data that follows a χ
²
distribution. Spurious values insensitivity is obtained by replacing mean by robust mean. A theoretical study of the variance of three estimators of the mean is presented. The study leads to a practical trimmed percentage that is chosen for the robust mean.