Matched subspace CFAR detection of hovering helicopters

Author

Gini, Fulvio ; Farina, Alfonsa

Author_Institution

Dipt. di Ingegneria dell´´Inf., Pisa Univ., Italy

Volume

35

Issue

4

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

1293

Lastpage

1305

Abstract

A constant false alarm rate (CFAR) strategy for detecting a Gaussian distributed random signal against correlated non-Gaussian clutter is developed. The proposed algorithm is based on Scharf´s matched subspace detector (MSD) and has the CFAR property with respect to the clutter amplitude probability density function (apdf), provided that the clutter distribution belongs to the compound-Gaussian family and the clutter covariance matrix is known to within a scale factor. Analytical expressions of false alarm and detection probabilities are derived. An application to the problem of detecting hovering helicopters against vegetated ground clutter is reported

Keywords

Gaussian noise; aerospace computing; air traffic control; helicopters; probability; radar clutter; radar detection; telecommunication computing; Gaussian distributed random signal; Scharf´s matched subspace detector; clutter amplitude probability density function; clutter covariance matrix; clutter distribution; compound-Gaussian family; constant false alarm rate strategy; correlated non-Gaussian clutter; detection probabilities; false alarm; hovering helicopters; matched subspace CFAR detection; vegetated ground clutter; Detectors; Gaussian noise; Helicopters; Matched filters; Maximum likelihood detection; Radar applications; Radar clutter; Radar detection; Signal detection; Signal processing algorithms;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.805446

Filename

805446