Gaussian mixture measurement model for high pulse-repetition frequency radar tracking in clutter
Yi Fang Shi, Darko Mušicki, Tae Han Kim, Taek Lyul Song · 2014
This paper presents an algorithm for high pulserepetition frequency (HPRF) radar tracking in clutter. A most serious problem with HPRF radar is the range ambiguity. This paper proposes a solution to this problem by using the Gaussian Mixture Model - Integrated Track Splitting (GMM-ITS) algorithm, which also gives out the probability of target existence (PTE) as the track quality measure. This track quality measure is used for false track discrimination in clutter.