DocumentCode :
2699354
Title :
A Doppler-based target classifier using linear discriminants and principal components
Author :
Stove, Andrew G. ; Sykes, Stephen R.
Author_Institution :
Thales Sensors, Crawley, UK
fYear :
2003
fDate :
3-5 Sept. 2003
Firstpage :
171
Lastpage :
176
Abstract :
This paper describes the design of the automatic target classifier which has been introduced into the AMSTAR battlefield surveillance radar. It discusses the requirements which have driven the design of the classifier, the data which is used to make the classification, the choice of linear discriminant analysis as the classification technique and the use of principal components analysis to simplify the training of the discriminator. It also discusses the testing of the classifier and the performance achieved.
Keywords :
Doppler radar; military radar; principal component analysis; radar signal processing; radar tracking; search radar; signal classification; Doppler-based target classifier; automatic target classifier; discriminator training; linear discriminant analysis; man-portable battlefield surveillance radar; principal components analysis; tracking radar; Doppler radar; Energy consumption; Helicopters; Linear discriminant analysis; Personnel; Principal component analysis; Radar detection; Radar tracking; Surveillance; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2003. Proceedings of the International
Print_ISBN :
0-7803-7870-9
Type :
conf
DOI :
10.1109/RADAR.2003.1278734
Filename :
1278734
Link To Document :
بازگشت