Analysis of some modified ordered statistic CFAR: OSGO and OSSO CFAR

Author

Elias-Fuste, A.R. ; de los Reyes Davo, E.

Author_Institution

Dept. de Teoria de la Senal y Commun., Univ. Politecnica de Cataluna, Barcelona

Volume

26

Issue

1

fYear

1990

fDate

1/1/1990 12:00:00 AM

Firstpage

197

Lastpage

202

Abstract

It is necessary for automatic detection radars to be adaptive to variations in background clutter in order to maintain a constant false alarm rate (CFAR). A CFAR based on an ordered statistic technique (OS CFAR) has some advantages over the cell-averaging technique (CA CFAR), especially in clutter edges or multiple target environments; unfortunately the large processing time required by this technique limits its use. The authors present two new OS CFARs that require only ahlf the processing time. One is an ordered statistic greatest of CFAR (OSGO), while the other is an ordered statistic smallest of CFAR (OSSO). The OSGO CFAR has the advantages of the OS CFAR with only a negligible increment to the CFAR loss

Keywords

computerised signal processing; radar clutter; radar theory; signal detection; telecommunications computing; automatic detection radars; background clutter; clutter edges; computerised signal processing; constant false alarm rate; multiple target; ordered statistic technique; processing time; Interference; Noise level; Probability density function; Radar clutter; Radar detection; Random variables; Statistical analysis; Statistics;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.53424

Filename

53424