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Implementation of multilayer ferrite radar absorbing coating with genetic algorithm for radar cross-section reduction at X-band

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Title Implementation of multilayer ferrite radar absorbing coating with genetic algorithm for radar cross-section reduction at X-band
 
Creator Parida, Ramesh C
Singh, D
Agarwal, N K
 
Subject Absorber testing device
Radar cross-section
Genetic algorithm
 
Description 145-152
Genetic algorithm (GA) approach has been analyzed to optimize the thickness of various layers as well as selection of suitable ferrite material for better absorption and reduction of radar cross-section (RCS) at X-band frequency. For this purpose, the available ferrite materials with frequency-dependent permittivities ε(ƒ) and permeabilities μ(ƒ) have been used as data base. An empirical relationship has been developed between µ and ƒ as well as ε and ƒ for application of GA to select the proper ferrite material at particular frequency range for minimum reflection or maximum absorption and reduction of RCS. The GA has advantage that, with fitness function, it places an upper bound on the total thickness of the coating as well as on the number of layers contained in the coating. This greatly simplifies manufacturing of absorber in the form of sheet by coating ferrite material. Four-layer coating with different thickness and different ferrite materials has been simulated by GA and the results obtained with GA have been synthesized on aluminum plate. The paint for coating over aluminum sheet has been prepared by mixing the known ferrite powders (used in data base) with glass epoxy resin with suitable amount of hardener. The absorption has been measured by absorber testing device (ATD) method and RCS has been measured by monostatic radar measurements at X-band (8-12 GHz) in anechoic chamber. The absorption and RCS were measured after each layer of coating. A considerable amount of reduction of RCS and absorption is observed as compared to the plain aluminum sheet at X-band.
 
Date 2009-01-21T04:50:22Z
2009-01-21T04:50:22Z
2007-04
 
Type Article
 
Identifier 0367-8393
http://hdl.handle.net/123456789/2835
 
Language en_US
 
Relation G01 S13/02; G01 S13/04
 
Publisher CSIR
 
Source IJRSP Vol.36(2) [April 2007]