CFAR data fusion center with inhomogeneous receivers

Author

Elias-Fuste, Antoni R. ; Broquetas-Ibars, Antoni ; Antequera, Jordi Puca ; Yuste, J. Carlos Marin

Author_Institution

Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain

Volume

28

Issue

1

fYear

1992

fDate

1/1/1992 12:00:00 AM

Firstpage

276

Lastpage

285

Abstract

Detection systems with distributed sensors and data fusion are increasingly used by surveillance systems. A system formed by N inhomogeneous constant false alarm rate (CFAR) detectors (cell-averaging (CA) and ordered statistic (OS) CFAR detectors) is studied. A recursive formulation of an algorithm that permits a fixed level of false alarms in the data fusion center is presented, to set the optimum individual threshold levels in the CFAR receivers and the optimum `K out of N´ decision rule in order to maximize the total probability of detection. The algorithm also considers receivers of different quality or with different communication channel qualities connecting them with the fusion center. This procedure has been applied to several hypothetical networks with distributed CA-CFAR and OS-CFAR receivers and for Rayleigh targets and interference, and it was seen that in general the fusion decision OR rule is not always the best

Keywords

probability; radar interference; radar receivers; radar theory; signal detection; CFAR data fusion center; CFAR receivers; Rayleigh targets; cell averaging CFAR detector; distributed sensors; fixed level of false alarms; fusion decision OR rule; inhomogeneous receivers; interference; ordered statistic CFAR detector; probability of detection; recursive formulation; threshold levels; Communication channels; Communication system control; Detectors; Event detection; Inference algorithms; Joining processes; Page description languages; Radar detection; Statistical distributions; Surveillance;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.135453

Filename

135453