An estimation method of the central frequency for optical velocity sensors

Abstract

The authors propose a signal processing method for measuring the velocity of moving objects (or moving scenes) using 2D spatial filters. The central (peak) frequency of the bell-shaped spectrum that contains the velocity information on the moving objects is estimated by fitting the sensor measurement data to AR(2) (second-order autoregressive) models so that the estimated coefficients directly yield the estimated peak of the spectrum. A computer simulation experiment was carried out and showed that the method yields a good estimate of the peak frequency corresponding to the velocity of the moving object.<>