Title :
Scattering signatures analysis using genetic algorithm
Author :
Zheng Jun ; Su Donglin
Author_Institution :
Beijing Univ. of Aeronaut. & Astronaut., China
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;
Conference_Titel :
Environmental Electromagnetics, 2003. CEEM 2003. Proceedings. Asia-Pacific Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
7-5635-0802-3
DOI :
10.1109/CEEM.2003.238345
