Multi-waveform STAP

Author

Blunt, Shannon ; Jakabosky, John ; Metcalf, Justin ; Stiles, James ; Himed, Braham

Author_Institution

Radar Syst. Lab., Univ. of Kansas, Lawrence, KS, USA

fYear

2013

fDate

April 29 2013-May 3 2013

Firstpage

1

Lastpage

6

Abstract

A new form of Space-Time Adaptive Processing (STAP) is introduced that is amenable to the simultaneous transmission of multiple-input multiple-output (MIMO) emissions from an airborne/space-based platform. Denoted as Multi-Waveform STAP (MuW-STAP or simply μ-STAP), this receive scheme incorporates new sources of training data for the STAP sample covariance matrix through the use of “orthogonal” waveforms optimized for use on a physical system. This additional training data improves robustness to both heterogeneous clutter and target contamination of training data, and also reduces the false alarms that would otherwise occur due to residual clutter.

Keywords

MIMO radar; airborne radar; covariance matrices; radar clutter; space-time adaptive processing; MIMO emissions; STAP sample covariance matrix; airborne-space-based platform; heterogeneous clutter; multiple-input multiple-output emissions; multiwaveform STAP; orthogonal waveforms; residual clutter; space-time adaptive processing; training data target contamination; Clutter; Covariance matrices; MIMO; Radar; Standards; Training data; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (RADAR), 2013 IEEE

Conference_Location

Ottawa, ON

ISSN

1097-5659

Print_ISBN

978-1-4673-5792-0

Type

conf

DOI

10.1109/RADAR.2013.6586089

Filename

6586089