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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

Samenvatting

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.

Originele taal-2Engels
TitelEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Pagina's145-148
Aantal pagina's4
DOI's
StatusGepubliceerd - 2005
EvenementEURAD 2005 - 2nd European Radar Conference - Paris, Frankrijk
Duur: 6 okt. 20057 okt. 2005

Publicatie series

NaamEURAD 2005 Conference Proceedings - 2nd European Radar Conference
Volume2005

Congres

CongresEURAD 2005 - 2nd European Radar Conference
Land/RegioFrankrijk
StadParis
Periode6/10/057/10/05

Vingerafdruk

Duik in de onderzoeksthema's van 'Design and representation of suboptimum methods for radar Space-Time Adaptive Processing (STAP) techniques using a canonical framework'. Samen vormen ze een unieke vingerafdruk.

Citeer dit