Title
A particle-filter-based detection scheme
Abstract
In this paper, we present a new result that can be used for detection purposes. We show that when estimating the a posteriori probability density of a possible signal in noise by means of a particle filter, the output of the filter, i.e., the unnormalized weights, can be used to approximately construct the likelihood ratio, which arises in many different detection schemes.
Year
DOI
Venue
2003
10.1109/LSP.2003.817175
IEEE Signal Processing Letters
Keywords
DocType
Volume
Particle filters,Filtering,Testing,Density measurement,Signal to noise ratio,Signal generators,Radar detection,Radar tracking,Nonlinear dynamical systems,Current measurement
Journal
10
Issue
ISSN
Citations 
10
1070-9908
8
PageRank 
References 
Authors
0.88
2
2
Name
Order
Citations
PageRank
Y. Boers113518.13
H. Driessen280.88