Title :
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
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;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.986878
