DocumentCode :
1612026
Title :
Karhunen - Loeve Transformation in Radar Signal Features Processing
Author :
Kawalec, Adam ; Owczarek, Robert ; Dudczyk, Janusz
Author_Institution :
Mil. Univ. of Technol., Warsaw
fYear :
2006
Firstpage :
1168
Lastpage :
1171
Abstract :
One of the most difficult tasks in the radar signal processing is an optimal features extraction and classification. The multifunction radar systems can not be classified and precisely recognized by most of new and modern Electronic Support Measure and Electronic Intelligence devices in the real time. It is directly combined with a possibility of measurement radar features. The number of radar features is sometimes measured a bit much and more often a few. This paper provides an overview of the new methods of measurement emitter signal features parameters and their transformation. This paper presents some aspects of radar signal features processing using Karhunen-Loeve ´a expansion as a feature selection and classification transform.
Keywords :
Karhunen-Loeve transforms; feature extraction; radar signal processing; signal classification; Karhunen-Loeve transformation; emitter signal feature parameter measurement; features extraction; radar signal processing; signal classification; Covariance matrix; Eigenvalues and eigenfunctions; Feature extraction; Karhunen-Loeve transforms; Pattern recognition; Radar measurements; Radar signal processing; Real time systems; Signal processing; Spaceborne radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Radar & Wireless Communications, 2006. MIKON 2006. International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-83-906662-7-3
Type :
conf
DOI :
10.1109/MIKON.2006.4345395
Filename :
4345395
Link To Document :
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