Design and representation of suboptimum methods for radar Space-Time Adaptive Processing (STAP) techniques using a canonical framework

Sébastien De Grève, Fabian D. Lapierre, Jacques G. Verly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Space-time adaptive processing (STAP) is a technique used by moving radars to detect slow moving targets. The goal is to reject interference and noise. However, rejection requires a great number of training samples and a large computational cost. To keep the task manageable, suboptimum STAP methods (SOMs) have been proposed by several authors. We have developed a framework to encompass all these methods in a canonical structure. In the appendices, some famous SOMs will be described using the canonical framework. The canonical framework can also be seen as a tool that can be used to design new techniques. This paper is a guideline for designing suboptimum STAP techniques using the framework. Choices that designers have to make are presented in regard with the impact of these choices.

Original languageEnglish
Title of host publicationEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Pages145-148
Number of pages4
DOIs
Publication statusPublished - 2005
EventEURAD 2005 - 2nd European Radar Conference - Paris, France
Duration: 6 Oct 20057 Oct 2005

Publication series

NameEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Volume2005

Conference

ConferenceEURAD 2005 - 2nd European Radar Conference
Country/TerritoryFrance
CityParis
Period6/10/057/10/05

Keywords

  • Framework
  • Radar
  • Space-time adaptive processing (STAP)
  • Suboptimum processing

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