Title :
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
fDate :
April 29 2013-May 3 2013
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;
Conference_Titel :
Radar Conference (RADAR), 2013 IEEE
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4673-5792-0
DOI :
10.1109/RADAR.2013.6586089