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

Volume

3

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1193

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.756191

Filename

756191