A statistical radar clutter classifier

Author

Stehwien, Wolfgang ; Haykin, Simon

Author_Institution

Litton Syst. Canada Ltd., Etobicoke, Ont., Canada

fYear

1989

fDate

29-30 Mar 1989

Firstpage

164

Lastpage

169

Abstract

An algorithm that successfully classifies radar clutter into one of several major categories, including bird, weather, and target classes, is described. Parametric Bayes classification is applied to a set of features derived from the reflection coefficients computed using the multisegment version of Burg´s formula. These coefficients are then transformed and grouped to meet the requirements for multivariate Gaussian behavior. The addition of two amplitude-related features aids in distinguishing between point targets and distributed clutter. Average probabilities of correct classification of 70% to 90% have been found when testing the classifier on recorded radar data

Keywords

Bayes methods; radar clutter; statistical analysis; Burg´s formula; bird class; distributed clutter; feature extraction; multisegment version; multivariate Gaussian behavior; parametric Bayer classification; point targets; probabilities; reflection coefficients; statistical radar clutter classifier; target classes; weather class; Air safety; Air traffic control; Birds; Costs; Doppler radar; Hazards; Meteorological radar; Object detection; Radar clutter; Radar tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 1989., Proceedings of the 1989 IEEE National

Conference_Location

Dallas, TX

Type

conf

DOI

10.1109/NRC.1989.47635

Filename

47635