Track-Before-Detect Filter Banks for Noise Object Tracking

Abstract

The Track-Before-Detect (TBD) filter banks is proposed for the processing of noise object that are additive to the background noise. Spatio-Temporal TBD algorithm uses the preprocessing of measurement. The modified moving standard deviation filter is applied. The correction of the results for the selection of the highest possible filter banks window is proposed. Position and velocity errors are evaluated numerically for two smoothing coefficients. Monte Carlo test shows that all filter banks allow the tracking if the standard deviation of the background is below 1.3