Adaptive sidelobe blanker: A novel method of performance evaluation and threshold setting in the presence of inhomogeneous clutter

Daniel E. Kreithen, C. Frederick Pearson, Christ Richmond

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

The Adaptive Sidelobe Blanker (ASB) detection algorithm consists of a cascade of two detectors: an Adaptive Matched Filter (AMF) followed by an Adaptive Coherence Estimator (ACE). The ASB has been shown to be effective at mitigating false alarms due to the presence of clutter inhomogeneities. This paper addresses two issues: how to choose thresholds for the component AMF and ACE detection algorithms, and how to predict performance of the ASB in the presence of a given amount of clutter inhomogeneity, for which no general analytic closed-form solution exists. Two proposed methods of threshold choice aid the system designer in quantifying the losses that are incurred by use of the ASB.

Original languageEnglish (US)
Pages (from-to)528-531
Number of pages4
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Dec 1 1998
Externally publishedYes
EventProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 1 1998Nov 4 1998

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Matched filters
Adaptive filters
Detectors

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

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