Title :
Gaussian mixture measurement model for high pulse-repetition frequency radar tracking in clutter
Author :
Yi Fang Shi ; Musicki, Darko ; Tae Han Kim ; Taek Lyul Song
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Seoul, South Korea
Abstract :
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.
Keywords :
Gaussian processes; mixture models; probability; radar clutter; radar tracking; GMM-ITS; HPRF; PTE; clutter; false track discrimination; gaussian mixture measurement model; high pulse-repetition frequency radar tracking; integrated track splitting algorithm; probability of target existence; radar tracking; track quality measure; Clutter; Frequency measurement; Noise measurement; Pulse measurements; Radar tracking; Target tracking; Gaussian mixture model-Integrated Track Splitting; High pulse repetition frequency; probability of target existence; range ambiguity;
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
DOI :
10.1109/ELINFOCOM.2014.6914435
