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

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Résumé

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.

langue originaleAnglais
titreEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Pages145-148
Nombre de pages4
Les DOIs
étatPublié - 2005
EvénementEURAD 2005 - 2nd European Radar Conference - Paris, France
Durée: 6 oct. 20057 oct. 2005

Série de publications

NomEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Volume2005

Une conférence

Une conférenceEURAD 2005 - 2nd European Radar Conference
Pays/TerritoireFrance
La villeParis
période6/10/057/10/05

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