Title :
Performance of the optimal nonlinear detector/tracker in clutter
Author :
Bruno, Marcelo G S ; Moura, José M F
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
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
Keywords :
Bayes methods; Gaussian processes; Markov processes; Monte Carlo methods; clutter; correlation methods; filtering theory; nonlinear filters; optimisation; signal detection; target tracking; Monte Carlo simulations; clutter; detection performance; noisy sensor measurements; nonGaussian clutter; nonlinear stochastic filtering; optimal nonlinear Bayesian algorithm; optimal nonlinear detector/tracker; receiver operating characteristic; spatially correlated Gauss-Markov clutter; target detection; target motion; target tracking; tracking performance; white Gaussian noise; Bayesian methods; Detectors; Filtering; Image sensors; Lattices; Statistics; Stochastic processes; Surveillance; Target tracking; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756191
