DocumentCode :
595738
Title :
Application of real coded genetic algorithm for target sensing
Author :
Pappula, L. ; Ghosh, Debashis
fYear :
2012
fDate :
18-21 Dec. 2012
Firstpage :
69
Lastpage :
72
Abstract :
Complex matrix equations need to be solved for extracting the impulse response of the target. In this paper, an evolutionary soft-computing technique of real coded genetic algorithm is applied to solve the system of linear equations. The proposed method is compared with the existing conjugate gradient method for deconvolution. The proposed method demonstrates how to overcome the drawbacks of the traditional method.
Keywords :
deconvolution; evolutionary computation; genetic algorithms; matrix algebra; complex matrix equations; conjugate gradient method; deconvolution; evolutionary soft-computing technique; impulse response; linear equations; real coded genetic algorithm; target sensing; Deconvolution; Equations; Genetic algorithms; Gradient methods; Linear programming; Sociology; Statistics; Target sensing; complex matrix; conjugate gradient method; deconvolution; equations; genetic algorithm; impulse response; real coded;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensing Technology (ICST), 2012 Sixth International Conference on
Conference_Location :
Kolkata
ISSN :
2156-8065
Print_ISBN :
978-1-4673-2246-1
Type :
conf
DOI :
10.1109/ICSensT.2012.6461768
Filename :
6461768
Link To Document :
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