A Multiframe Bayesian Algorithm for Detecting Random Signature Targets in Correlated Gauss-Markov Clutter

Marcelo G. S. Bruno, José M. F. Moura

DOI: 10.14209/sbrt.2000.4040002

Evento: XVIII Simpósio Brasileiro de Telecomunicações (SBrT2000)

Keywords:

Abstract

"We introduce in this paper an optimal Bayesian algorithm for integrated detection and tracking of Gaussian targets that move randomly in cluttered environments. We model the background clutter as a noncausal Gauss-Markov random process and incorporate the statistical descriptions of the clutter, target signature, and target motion into the design of the detector/tracker. The optimal detection performance is quantified using Monte Carlo simulations."

Download