DocumentCode :
2655025
Title :
Two-parameter power-variable-training STAP
Author :
Benitz, Gerald ; Griesbach, Jacob D. ; Rader, Charles
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Volume :
2
fYear :
2004
fDate :
7-10 Nov. 2004
Firstpage :
2359
Abstract :
Airborne ground moving target indicator (GMTI) radars must employ a method of radar clutter mitigation to separate moving objects from stationary ground clutter. Two-parameter, power variable training STAP effectively combines two distinct STAP methods to improve clutter suppression, target detection, and angle estimation. Power variable training STAP utilizes a clutter covariance scaling factor to prevent clutter overing and undering that can degrade radar performance. Two-parameter STAP augments power variable training STAP by implementing an adaptive clutter projection for the highest power clutter, thus limiting breakthrough clutter discretes while preserving MDV. Results are illustrated with radar data collected from the Tuxedo airborne radar.
Keywords :
airborne radar; direction-of-arrival estimation; radar clutter; radar signal processing; space-time adaptive processing; target tracking; Tuxedo airborne radar; adaptive clutter projection; airborne ground moving target indicator radars; angle estimation; clutter covariance scaling factor; clutter overing; clutter suppression; clutter undering; ground clutter; radar clutter; target detection; two-parameter power-variable-training STAP; Airborne radar; Covariance matrix; Degradation; Doppler radar; Jacobian matrices; Laboratories; Object detection; Radar clutter; Radar detection; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
Type :
conf
DOI :
10.1109/ACSSC.2004.1399591
Filename :
1399591
Link To Document :
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