Performance of two-dimensional parametric STAP: KASSPER airborne radar data analysis

Author

Abramovich, Yuri ; Rangaswamy, Muralidhar ; Johnson, Ben ; Corbell, Phillip ; Spencer, Nicholas

Author_Institution

ISRD, Defence Sci.&Technol. Organ. (DSTO), Edinburgh, SA

fYear

2008

fDate

21-23 May 2008

Firstpage

1

Lastpage

6

Abstract

We investigate a new class of 2D parametric models for space-time adaptive processing (STAP) of ground clutter in airborne radar using KASSPER Dataset 1. The signal-to-interference-plus-noise (SINR) degradation with respect to the optimal receiver is analyzed for various parametric models, regularizations and training sample volumes. We show that a very small training sample volume (5-15 training range bins), with a suitable parametric model and estimation technique, can give acceptable STAP performance for the KASSPER scenario.

Keywords

airborne radar; parameter estimation; radar clutter; radar signal processing; space-time adaptive processing; 2D parametric STAP; 2D parametric models; KASSPER Dataset 1; airborne radar data analysis; ground clutter; parameter estimation technique; signal-to-interference-plus-noise degradation; space-time adaptive processing; Airborne radar; Antenna arrays; Australia; Covariance matrix; Data analysis; Parametric statistics; Phased arrays; Radar clutter; Solid modeling; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Symposium, 2008 International

Conference_Location

Wroclaw

Print_ISBN

978-83-7207-757-8

Type

conf

DOI

10.1109/IRS.2008.4585703

Filename

4585703