Evaluation of partially adaptive STAP algorithms on the Mountain Top data set

Author

Seliktar, Yaron ; Williams, Douglas B. ; McClellan, James H.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

2

fYear

1996

fDate

7-10 May 1996

Firstpage

1169

Abstract

In this paper we introduce a common framework for evaluating the performance of multiple weight, partially adaptive space-time adaptive processing (STAP) algorithms in terms of composite weight vectors. We then evaluate the performance of these STAP algorithms using synthetic and Mountain Top (MT) data (for airborne early warning radar) and address some limitations of high dimensional STAP algorithms in a nonstationary clutter environment. As part of the evaluation, we also familiarize the reader with the MT database and address important issues in processing the data

Keywords

adaptive signal processing; airborne radar; military systems; radar clutter; radar signal processing; search radar; Mountain Top data set; airborne early warning radar; composite weight vectors; database; high dimensional STAP algorithms; nonstationary clutter environment; partially adaptive STAP algorithms; performance; space-time adaptive processing algorithms; Adaptive arrays; Array signal processing; Contracts; Covariance matrix; Data engineering; Data visualization; Frequency; Pattern analysis; Space technology; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.543573

Filename

543573