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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

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.

OriginalspracheEnglisch
TitelEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Seiten145-148
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2005
VeranstaltungEURAD 2005 - 2nd European Radar Conference - Paris, Frankreich
Dauer: 6 Okt. 20057 Okt. 2005

Publikationsreihe

NameEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Band2005

Konferenz

KonferenzEURAD 2005 - 2nd European Radar Conference
Land/GebietFrankreich
OrtParis
Zeitraum6/10/057/10/05

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