Scattering signatures analysis using genetic algorithm

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 highe...

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Bibliographic Details
Main Authors: Zheng Jun, Su Donglin
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Data mining
Genetic algorithms
Immune system
Parameter estimation
Radar imaging
Radar scattering
Scattering parameters
State-space methods
Target recognition
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Description
Summary: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.
DOI:10.1109/CEEM.2003.238345