Title :
Multitarget tracking with HRR wavelets features
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
This paper presents an algorithm for multitarget tracking using wavelets features, which effectively combines information from both high resolution range (HRR) profiles and ground moving target indication (GMTI) radar reports. With assistance of HRR wavelets features, a GMTI tracker based on a probabilistic data association logic can effectively track ground moving targets in confusing scenarios.
Keywords :
probabilistic logic; target tracking; wavelet transforms; GMTI tracker; HRR wavelets features; ground moving target indication radar reports; ground moving target tracking; high resolution range profiles; multitarget tracking; probabilistic data association logic; Decorrelation; Delay effects; Filtering; Filters; Hidden Markov models; Prototypes; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1025368