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