Statistical performance analysis of the adaptive sidelobe blanker detection algorithm

Research output: Contribution to journalConference article

9 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)872-876
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Jan 1 1998
Externally publishedYes
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 2 1997Nov 5 1997

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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