Decentralized CFAR detection based on order statistics

Author

Uner, Mucahit K. ; Varshney, Pramod K.

Author_Institution

Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA

fYear

1993

fDate

16-18 Aug 1993

Firstpage

146

Abstract

In this paper, we analyze the performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds. We employ the ordered statistics (OS) CFAR detectors as local detectors. In the homogeneous background, we maximize the global probability of detection for a given fixed global probability of false alarm by optimizing both the threshold multipliers and the order numbers of the local OS-CFAR detectors. In the nonhomogeneous background with multiple targets or clutter edges, we analytically analyze the performance of the detection system and compare its performance with the performance of the distributed cell-averaging (CA) CFAR detection system

Keywords

clutter; probability; radar detection; radar signal processing; sensor fusion; statistics; clutter edges; data fusion; decentralized CFAR detection; distributed constant false alarm rate detection; global probability of detection; homogeneous Gaussian background; local detectors; multiple targets; nonhomogeneous Gaussian background; order statistics; threshold multipliers; Background noise; Data engineering; Gas detectors; Noise level; Performance analysis; Probability; Sensor fusion; Sensor systems; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.343044

Filename

343044