Statistical performance analysis of the adaptive sidelobe blanker detection algorithm

Author

Richmond, Christ D.

Author_Institution

Lincoln Lab., MIT, Lexington, MA, USA

Volume

1

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

872

Abstract

A method was proposed for reducing the high false alarm rate of the adaptive matched filter (AMF) under non-homogeneous conditions. It consists of sequentially following the AMF test with the adaptive cosine estimator (ACE) which determines what fraction of the total energy present in a test cell originates from the target direction. The overall detection algorithm, called the adaptive sidelobe blanker (ASB), is two dimensional and has exhibited significant potential in experimental settings. The goal of this paper is to provide a theoretical analysis of this 2-D algorithm.

Keywords

adaptive estimation; adaptive filters; adaptive signal detection; filtering theory; matched filters; parameter estimation; statistical analysis; 2D algorithm; adaptive cosine estimator; adaptive matched filter; adaptive sidelobe blanker; adaptive sidelobe blanker detection algorithm; detection algorithm; false alarm rate reduction; nonhomogeneous conditions; statistical performance analysis; target direction; test cell; total energy; Airborne radar; Algorithm design and analysis; Clutter; Detection algorithms; Detectors; Matched filters; Performance analysis; Sequential analysis; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.680568

Filename

680568