Modeling performance of the two dimensional frequency domain least squares algorithm in airborne surveillance radar applications

Author

Zhang, Qingwen ; Roman, Jaime R. ; Davis, Dennis W. ; Mikhael, Wasfy B.

Author_Institution

Dept. of Electr. & Comput. Eng., Central Florida Univ., Orlando, FL, USA

Volume

3

fYear

1999

fDate

36342

Firstpage

239

Abstract

The application of the two-dimensional frequency domain least squares (2D-FD-LS) algorithm to modeling the ground clutter in airborne surveillance phased array radar scenarios is discussed herein. Model order selection and model stabilization issues are considered also. The stabilized models are used to generate filters to whiten the found clutter. Simulation-based results demonstrate that the ground clutter is modeled effectively

Keywords

adaptive signal processing; autoregressive moving average processes; frequency-domain analysis; identification; least mean squares methods; modelling; numerical stability; phased array radar; radar clutter; radar signal processing; search radar; 2D ARMA models; 2D frequency domain LS algorithm; airborne surveillance radar applications; filters; ground clutter; model order selection; model stabilization; modeling performance; phased array radar scenarios; two dimensional least squares algorithm; Airborne radar; Filters; Frequency domain analysis; Least squares methods; Modeling; Object detection; Phased arrays; Radar applications; Radar clutter; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-5471-0

Type

conf

DOI

10.1109/ISCAS.1999.778829

Filename

778829