Multiple hypothesis track confirmation for infrared surveillance systems

Author

Blackman, S. ; Dempster, R. ; Broida, T.

Author_Institution

Hughes Aircraft Co., El Segundo, CA, USA

Volume

29

Issue

3

fYear

1993

fDate

7/1/1993 12:00:00 AM

Firstpage

810

Lastpage

824

Abstract

An overall methodology is described for the application of a multiple hypothesis tracking (MHT) algorithm to the infrared (IR) surveillance system problem of establishing tracks on dim targets in a heavy clutter or false alarm background. The authors discuss the manner in which the detection and tracking systems are jointly designed to optimize performance. They present approximate methods that can conveniently be used for preliminary system design and performance prediction. They discuss the use of a detailed Monte Carlo simulation for final system evaluation and present results illustrating the proposed methods and comparing predicted and simulation performance

Keywords

Monte Carlo methods; clutter; image processing; infrared detectors; infrared imaging; signal detection; tracking; Monte Carlo simulation; approximate methods; dim targets; false alarm background; heavy clutter; infrared surveillance systems; multiple hypothesis tracking; performance optimisation; performance prediction; preliminary system design; signal detection; Aircraft; Algorithm design and analysis; Clustering algorithms; Infrared detectors; Infrared sensors; Infrared surveillance; Logic testing; Matched filters; Signal processing algorithms; Signal to noise ratio; Target tracking;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.220932

Filename

220932