A Localized Adaptive MTD Processor

Hong Wang, Lujing Cai

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

Studied in this paper is the problem of achieving the optimum moving target indicator (MTI) detection performance in strong clutter of unknown spectrum, when the set of data available to the estimation of clutter statistics is small due to a severely nonhomogeneous environment A new adaptive implementation, called the Doppler domain localized generalized likelihood ratio processor (DDL-GLR), is proposed and its detection performance is studied in detail. It is shown that the DDL-GLR is a data-efficient Implementation of the high-order optimum detector, together with several advantages of practical importance over other adaptive processors.

Original languageEnglish (US)
Pages (from-to)532-539
Number of pages8
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume27
Issue number3
DOIs
StatePublished - May 1991

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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