Target tracking in glint noise using a MCMC particle filter
Hongtao Hu, Zhongliang Jing, An-Ping Li, Tian Hongwei · Journal of Systems Engineering and Electronics · 2005
In radar target tracking application, the observation noise is usually non-Gaussian, which is also referred as glint noise. The performances of conventional trackers degra de severely in the presence of glint noise. An improved particle filter, Markov chain Monte Carlo particle filter (MCMC-PF), is applied to cope with radar target tracking when the measurements are perturbed by glint noise. Tracking performance of the filter is demonstrated in the present of glint noise by computer simulation