DocumentCode
2751765
Title
Scattering signatures analysis using genetic algorithm
Author
Zheng Jun ; Su Donglin
Author_Institution
Beijing Univ. of Aeronaut. & Astronaut., China
fYear
2003
fDate
4-7 Nov. 2003
Firstpage
514
Lastpage
517
Abstract
A real-valued genetic algorithm is proposed as a means of extracting one-dimensional scattering centers. In terms of the extraction of scattering signatures from noise-corrupted data, the genetic algorithm has been compared to the state space approach, and the results show that this method has higher-noise immunity.
Keywords
electromagnetic wave scattering; genetic algorithms; parameter estimation; radar signal processing; radar target recognition; radar theory; signal classification; signal denoising; genetic algorithm; noise-corrupted data; one-dimensional scattering centers; parameter estimation; radar targets; scattering signature analysis; signal classification; state space approach; Algorithm design and analysis; Data mining; Genetic algorithms; Immune system; Parameter estimation; Radar imaging; Radar scattering; Scattering parameters; State-space methods; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Electromagnetics, 2003. CEEM 2003. Proceedings. Asia-Pacific Conference on
Conference_Location
Hangzhou, China
Print_ISBN
7-5635-0802-3
Type
conf
DOI
10.1109/CEEM.2003.238345
Filename
1282382
Link To Document