Analysis of an adaptive detection algorithm for non-homogeneous environments

Christ D. Richmond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The adaptive matched filter (AMF) detector is known to be highly vulnerable to jammers and clutter discretes on which it has not properly trained. A vulnerability often leading to impractical false alarm rates in non-homogeneous environments. Sequentially following the AMF test with the adaptive cosine estimator (ACE) detector was proposed as a method of regulating the AMF's high false alarm rate. The overall detection algorithm, called the adaptive sidelobe blanker (ASB), is two dimensional and has exhibited significant potential in experimental settings of inhomogeneous environments. This paper theoretically examines the potential of this algorithm for application in non-homogeneous environments.

Original languageEnglish (US)
Title of host publicationProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2005-2008
Number of pages4
ISBN (Print)0780344286, 9780780344280
DOIs
StatePublished - 1998
Externally publishedYes
Event1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 - Seattle, WA, United States
Duration: May 12 1998May 15 1998

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Country/TerritoryUnited States
CitySeattle, WA
Period5/12/985/15/98

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Analysis of an adaptive detection algorithm for non-homogeneous environments'. Together they form a unique fingerprint.

Cite this