Application of the two dimensional frequency domain least squares algorithm to airborne surveillance radar detection

Author

Zhang, Qingwen ; Mikhael, Wasfy B.

Author_Institution

SiRF Technol. Inc., Los Angeles, CA, USA

Volume

1

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

45

Abstract

The application of the two-dimensional frequency domain least squares (2D-FD-LS) algorithm to parametric-based airborne radar detection is discussed herein. Several issues such as model order selection and model stabilization are considered. The frequency-domain version of the test statistic is also derived here. Simulation-based results demonstrate that good performance can be obtained.

Keywords

airborne radar; autoregressive moving average processes; frequency-domain analysis; least squares approximations; radar detection; search radar; 2D-FD-LS algorithm; airborne radar; model order selection; model stabilization; parametric-based detection; performance; phased array radar; surveillance radar; test statistic; two-dimensional frequency domain least squares; Airborne radar; Filters; Frequency domain analysis; Least squares methods; Parametric statistics; Phased arrays; Radar clutter; Radar detection; Surveillance; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.986878

Filename

986878