Performance of the optimal nonlinear detector/tracker in clutter
Marcelo G. S. Bruno, José M. F. Moura · 1999
We propose an optimal nonlinear Bayesian algorithm for joint detection and tracking of targets that move randomly in cluttered environments. We review the derivation of the optimal Bayesian detector/tracker and present Monte Carlo simulations that benchmark the detection and tracking performances in both spatially correlated and non-Gaussian clutter.