Decentralized CFAR signal detection

Author

Barkat, Mourad ; Varshney, Pramod K.

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

25

Issue

2

fYear

1989

fDate

3/1/1989 12:00:00 AM

Firstpage

141

Lastpage

149

Abstract

The authors develop the theory of CA-CFAR (cell-averaging constant false-alarm rate) detection using multiple sensors and data fusion, where detection decisions are transmitted from each CA-CFAR detector to the data fusion center. The overall decision is obtained at the data fusion center based on some k out of n fusion rule. For a Swerling target model I embedded in white Gaussian noise of unknown level, the authors obtain the optimum threshold multipliers of the individual detectors. At the data fusion center, they derive an expression for the overall probability of detection while the overall probability of false alarm is maintained at the desired value for the given fusion rules. An example is presented showing numerical results.<>

Keywords

probability; signal detection; white noise; Swerling target model; cell-averaging constant false-alarm rate; data fusion; data fusion center; false alarm; multiple sensors; optimum threshold multipliers; probability; signal detection; white Gaussian noise; Detectors; Gaussian noise; Sensor fusion; Signal detection;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.18676

Filename

18676