Target tracking with very long range is studied in this paper. Such tracking problem has severe measurement#R##N##R##N#nonlinearity that will cause consistency problems and large tracking errors. Gaussian mixture measurements#R##N##R##N#are obtained by dividing the measurement likelihood into several Gaussian components. The Gaussian Mixture#R##N##R##N#Measurement-Integrated Track Splitting (GMM-ITS) is applied to very long range tracking scenarios. The#R##N##R##N#simulation results show that the GMM-ITS can produce consistency in the filtering results crucial to the filter#R##N##R##N#performance. Furthermore, it is also able to estimate the target state accurately with small tracking errors.
['Qian Zhang', 'Taek Lyul Song']
Gaussian Mixture Measurements for Very Long Range Tracking