Microwave imaging of a 36-cell human body by moment method formulation

dc.accession.numberT00523
dc.classification.ddc621.367 CHA
dc.contributor.advisorGhodgaonkar, Deepak
dc.contributor.authorChandarana, Mahek Harshad
dc.date.accessioned2017-06-10T14:43:12Z
dc.date.accessioned2025-06-28T10:23:25Z
dc.date.available2017-06-10T14:43:12Z
dc.date.issued2015
dc.degreeM. Tech
dc.description.abstractEstimation of a complex permittivity is achieved using the moment method formulation of electric field integral equation. In addition to numerical results for three dimensional biological bodies, thesis also describes formulation of inverse problem, forward problem and the evaluation of matrix element. For excitation of the 36-cell human body with electric field, short dipole is used as transmitter, which is located in front and back side of the body. Thus, electric field at cell centroid locations are calculated using near field equation and electric field at N receiving dipole locations are stimulated using MAT LAB and thus complex permittivity are estimated from the inverse problem. This procedure is an ideal approach. But, in practical scenario, random and systematic errors occur which cannot be calculated in stimulation. Hence, it is taken into consideration by addition of Gaussian error to the received electric field at the receiver locations. Due to this process, error in the complex permittivity of a buried cells occurs in a large amount. Hence, multiple view technique is introduced in order to obtain the reduction in the error of complex permittivity of buried cells.
dc.identifier.citationChandarana, Mahek Harshad (2015). Microwave imaging of a 36-cell human body by moment method formulation. Dhirubhai Ambani Institute of Information and Communication Technology, vii, 31 p. (Acc.No: T00523)
dc.identifier.urihttp://ir.daiict.ac.in/handle/123456789/560
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.student.id201311029
dc.subjectMicrowave imaging
dc.subjectRadiography
dc.subjectIndustrial
dc.subjectRemote Sensing
dc.subjectGeographic Information Systems
dc.subjectMicrowave imaging
dc.subjectIndustrial applications
dc.titleMicrowave imaging of a 36-cell human body by moment method formulation
dc.typeDissertation

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