Electromagnetic scattering from random media / Timothy R. Field.

By:

Field, Timothy R

Material type: Text

TextSeries: International series of monographs on physics (Oxford, England) ; 144.Oxford ; New York : Oxford University Press, 2009Description: xiii, 184 p. : ill. ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780198570776
0198570775

Subject(s):

DDC classification:

530.141 22 F.T.E

LOC classification:

QC20.7.S8 F54 2009

Online resources:

Abstract

Contents:

Summary: The book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework in simulation and experimental data analysis.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library A8	Faculty of Engineering & Technology (General)	530.141 F.T.E (Browse shelf(Opens below))	Available		00011836

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Previous	530.13 S.F.S Statistical mechanics /	530.13 T.M.S Statistical mechanics : theory and molecular simulation /	530.132 D.D.T Thermodynamics and statistical mechanics /	530.141 F.T.E Electromagnetic scattering from random media /	530.141 G.W.M The Method of moments in electromagnetics /	530.141 H.W.E Engineering electromagnetics /	530.141 H.W.E Engineering electromagnetics /	Next

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Includes bibliographical references (p. 174-180) and index.

PART I: STOCHASTIC CALCULUS ; 1. Heat equation and Brownian motion ; 2. Ito calculus ; 3. Stochastic differential geometry ; 4. Examples of stochastic differential equations ; PART II: SCATTERING DYNAMICS ; 5. Diffusion models in electromagnetic scattering ; 6. Rayleigh scattering ; 7. Population dynamics ; 8. Dynamics of K-scattering ; 9. Models of weak scattering ; 10. Scattering from general populations ; PART III: SIMULATION AND EXPERIMENT ; 11. Simulation of K-scattering ; 12. Experimental tests ; 13. Non-linear dynamics of sea clutter ; 14. Observability of scattering cross-section ; APPENDICES ; A. Stability and infinite divisibility ; B. Ito versus Stratonovich stochastic integrals ; C. Filtrations, conditional probability and Markov property ; D. Girsanov's theorem ; E. Partition function solution to BDI model ; F. Summary of K-scattering ; G. Iterative solution for vector processes ; H. Open problems ; I. Suggested further reading ; References ; Index

The book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework in simulation and experimental data analysis.

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