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Wave Propagation and Scattering in Random Media. Multiple Scattering, Turbulence, Rough Surfaces, and Remote Sensing PDF

322 Pages·1978·6.2 MB·English
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Wave Propagation and Scattering in Random Media AKIRA ISHIMARU Department of Electrical Engineering University of Washington Seattle, Washington VOLUME 2 Multiple Scattering, Turbulence, Rough Surfaces, and Remote Sensing ACADEMIC PRESS New York San Francisco London 1978 A Subsidiary of Harcourt Brace Jovanovich, Publishers COPYRIGHT © 1978, BY ACADEMIC PRESS, INC. ALL RIGHTS RESERVED. NO PART OF THIS PUBLICATION MAY BE REPRODUCED OR TRANSMITTED IN ANY FORM OR BY ANY MEANS. ELECTRONIC OR MECHANICAL, INCLUDING PHOTOCOPY, RECORDING, OR ANY INFORMATION STORAGE AND RETRIEVAL SYSTEM, WITHOUT PERMISSION IN WRITING FROM THE PUBLISHER. ACADEMIC PRESS, INC. Ill Fifth Avenue, New York, New York 10003 United Kingdom Edition published by ACADEMIC PRESS, INC. (LONDON) LTD. 24/28 Oval Road, London NW1 7DX Library of Congress Cataloging in Publication Data Ishimaru, Akira, Date Wave propagation and scattering in random media. Bibliography: v. l,p. v. 2, p. CONTENTS: v.l. Single scattering and transport theory.-v. 2. Multiple scattering, turbulence, rough surfaces and remote sensing. 1. Waves. 2. Scattering (Physics) I. Title. QC157.I83 531M133 77-74051 ISBN 0-12-374702-3 (v. 2) PRINTED IN THE UNITED STATES OF AMERICA To Joyce, Jim, Jane, John Yuko Yumi and Shigezo Ishimaru PREFACE The problem of wave propagation and scattering in the atmosphere, the ocean, and in biological media has become increasingly important in recent years, particularly in the areas of communication, remote-sensing, and detec- tion. These media are, in general, randomly varying in time and space so that the amplitude and phase of the waves may also fluctuate randomly in time and space. These random fluctuations and scattering of the waves are important in a variety of practical problems. Communication engineers are concerned with the phase and amplitude fluctuations of waves as the waves propagate through atmospheric and ocean turbulence and with the coherence time and coherence bandwidth of waves in such a medium. Waves scattered by turbulence may be used for beyond-the-horizon communication links. The detection of clear air turbulence by a scattering technique contributes significantly to safe navigation. Geophysicists are interested in the use of wave fluctuations that occur due to propagation through planetary atmospheres in order to remotely determine their turbulence and dynamic characteristics. Bioengineers may use the fluctuation and scattering characteristics of a sound wave as a diagnostic tool. Radar engineers may need to concern themselves with clutter echoes produced by storms, rain, snow, or hail. Electromagnetic and acoustic probing of geological media requires the knowledge of scattering characteristics of inhomogeneities that are statistically distributed. Finally, the emerging field of radio oceanography is the study of ocean characteristics by scattered radio waves. Central to this technique is the knowledge of wave characteristics that have been scattered by rough surfaces. All of these problems are characterized by the statistical description of waves and media. Because of this fundamental similarity it should be possible to develop basic formulations common to all these problems. In this book we will present the fundamental formulations of wave propagation and scattering in random media in a unified and systematic manner. This is not an easy task, but it is hoped that the readers can discern some common threads through various formulations and varieties of topics covered in this book. It should be emphasized that, because of the diverse nature of the problems, it is necessary to employ various approximations XIII XIV D PREFACE to obtain useful results. Therefore we will present a systematic exposition of useful approximation techniques applicable to a variety of different situations. Remote sensing of geophysical and meteorological parameters by wave propagation and scattering techniques has become increasingly important as a useful tool with which to study the structure and dynamics of the atmosphere. This knowledge is used in improving weather forecasting, suggesting means for weather modification, studying pollution, and in- creasing air traffic safety. An up-to-date account of recent research in this area serves as an introduction to more general remote-sensing techniques. This book, then, is intended for engineers and scientists interested in optical, acoustic, and microwave propagation and scattering in atmospheres, oceans, and biological media, and particularly for those involved in com- munication through such media and remote sensing of the characteristics of these media. This book is an introduction to the fundamental concepts and useful results of the statistical wave propagation theory. The theory includes a systematic exposition of radiative transfer and transport and multiple scattering theories that are also the concerns of chemists, geo- physicists, and nuclear engineers. Prerequisites include some familiarity with solutions to wave equations, Maxwell's equations, vector calculus, Fourier series, and Fourier integrals. Topics covered in this book may be grouped into three categories: "waves in random scatterers," "waves in random continua," and "rough surface scattering." Random scatterers are random distributions of many particles. Examples are rain, fog, smog, hail, ocean particles, red blood cells, polymers, and other particles in a state of Brownian motion. Random continua are the media whose characteristics vary randomly and con- tinuously in time and space. Examples are clear air turbulence, jet engine exhaust, tropospheric and ionospheric turbulence, ocean turbulence, and biological media such as tissue and muscle. Rough surface examples are the ocean surface, planetary surfaces, interfaces between different biological media, and the surface roughness of an optical fiber. Volume 1 (Parts I and II) deals with single scattering theory and transport theory. The single scattering theory is applicable to the waves in a tenuous distribution of scatterers. This covers many practical situations, including radar, lidar, and sonar applications in various media. Because of its relatively simple mathematical formulations it is possible to develop without undue complications a variety of fundamental concepts such as coherence bandwidth, coherence time, temporal frequency, moving scat- terers, and pulse propagation. We also include some numerical values of the characteristics of particles in the atmosphere, the ocean, and in biological media. The transport theory, which is also called the radiative transfer PREFACE D XV theory, deals with transport of intensities through a random distribution of scatterers. This applies to many optical and microwave scattering problems in the atmosphere and in biological media. We present several approximate solutions, including diffusion theory, Kubelka-Munk theory, the plane-par- allel problem, isotropic scattering, and forward scattering theory. Volume 2 (Parts III, IV, and V) contains many recent developments in the theory of waves in random media. Part III is devoted to the theory of multiple scattering of waves by randomly distributed scatterers. Part IV covers theories of weak and strong fluctuations of waves in random con- tinua and turbulence. Part V deals with fundamentals of rough surface scattering and remote sensing of the characteristics of random media, including important inversion techniques. ACKNOWLEDGMENTS This book is based on a set of lecture notes prepared for a first-year graduate course on waves in random media, given in the Department of Electrical Engineering at the University of Washington for the past several years. The material in this book has also been used as a text for a one-week UCLA short course offered in 1973 and 1974 on the theory and application of waves in random media. The author wishes to express his appreciation to his colleagues and graduate students who have made many valuable comments. In particular, he wishes to thank R. A. Sigelmann and F. P. Carlson at the University of Washington, Richard Woo at the Jet Propulsion Laboratories, Cavour Yeh at UCLA, Curt Johnson at the University of Utah, Victor Twersky at the University of Illinois, Chicago Circle, N. Marcuvitz, Polytechnic Institute of New York, and J. B. Keller at New York University, Courant Institute, for discussions, helpful suggestions, and encouragement. A large part of the work included in this book was supported by the Deputy for Electronic Technology, formerly the Air Force Cambridge Research Laboratories, the National Science Foundation, and the National Institute of Health. The author is also grateful to Mrs. Eileen Flewelling for her expert typing and her help in organizing the manuscript. XVII CONTENTS OF VOLUME 1 SINGLE SCATTERING AND TRANSPORT THEORY PART I D SCATTERING AND PROPAGATION OF WAVES IN A TENUOUS DISTRIBUTION OF SCATTERERS: SINGLE SCATTERING APPROXIMATION CHAPTER 1 D Introduction CHAPTER 2 D Scattering and Absorption of a Wave by a Single Particle CHAPTER 3 D Characteristics of Discrete Scatterers in the Atmosphere, Ocean, and Biological Materials CHAPTER 4 D Scattering of Waves from the Tenuous Distribution of Particles CHAPTER 5 D Scattering of Pulse Waves from a Random Distribution of Particles CHAPTER 6 D Line-of-Sight Propagation through Tenuous Distribution of Particles PART II DTRANSPORT THEORY OF WAVES IN RANDOMLY DISTRIBUTED SCATTERERS CHAPTER 7 D Transport Theory of Wave Propagation in Random Particles CHAPTER 8 D Approximate Solutions for Tenuous Medium CHAPTER 9 D Diffusion Approximation CHAPTER 10 D Two and Four Flux Theory CHAPTER 11 D Plane-Parallel Problem CHAPTER 12 D Isotropie Scattering CHAPTER 13 D Approximation for Large Particles References—I ndex XIX CHAPTER 14 D MULTIPLE SCATTERING THEORY OF WAVES IN STATIONARY AND MOVING SCATTERERS AND ITS RELATIONSHIP WITH TRANSPORT THEORY As we discussed in the introduction to Chapter 7, there are two general approaches to the problem of wave propagation in randomly distributed particles: analytical theory and transport theory. Chapters 7-13 are devoted to the transport theory in which the propagation of intensities in a random medium is investigated using the transport equation. In analytical theory, which is also called multiple scattering theory, we start with fundamental differential equations governing field quantities and then introduce statistical considerations (see Crosignani et al, 1975; the excellent review paper by Barabanenkov et al, 1971; Frisch, 1968). Early studies on multiple scattering include those by Ryde ( 1931 ), Ryde and Cooper (1931), Foldy (1945), Lax (1951), and Snyder and Scott (1949). These were extended by Twersky who obtained consistent sets of integral equations. Twersky's theory gives a clear physical picture of various processes of multiple scattering, and therefore the first portion of this chapter is devoted to a derivation of Twersky's integral equations. See Twersky (1964), Keller (1964), Twersky (1967, 1970a,b, 1973), Ishimaru (1975, 1977a), Beard (1962, 1967), and Beard et al (1965). The diagram method gives a systematic and concise formal representation of the complete multiple scattering processes based on an elementary use of Feynman diagrams (Frisch, 1968; Marcuvitz, 1974; Tatarski, 1971, Chapter 5). This leads to the diagram representation of the Dyson equation for the average field and the Bethe-Salpeter equation for the correlation function. It is noted, however, that it is impossible to obtain the explicit exact expres- sions of the operators in these integral equations, and it is necessary to resort to approximate representations. The simplest and the most useful is called the first order smoothing approximation. This approximation can be shown to be equivalent to the Twersky integral equations (Ishimaru, 1975). The relationships between multiple scattering theory and transport theory have been investigated in recent years, and many studies dealing with this approach have been reported (Bremmer, 1964; Dolin, 1966; Barabanenkov, 1968, 1969; Barabanenkov et al, 1968a,b; Fante, 1973, 1974; Tatarski, 1971; 253 254 D 14 MULTIPLE SCATTERING IN SCATTERERS Ishimaru, 1975; Furutsu, 1975; Bugnolo, 1960, 1961, 1972; Watson, 1969, 1970; Stott, 1968; Feinstein, 1969; Feinstein et al, 1972; Gnedin and Dolginov, 1964; Granatstein et al, 1972; Kalaschnikov, 1966). In this chap- ter we also discuss the relationships between Twersky's theory and the tran- sport theory presented in Chapter 7. If the scatterers are in motion, the fields become functions of time and we need to consider the correlation of the fields in time as well as in space. This problem is also analyzed in this chapter and the fundamental equations are derived. The solutions that exhibit the field fluctuation in time and space are described in the following chapter. 14-1 MULTIPLE SCATTERING PROCESS CONTAINED IN TWERSKY'S THEORY Let us consider a random distribution of N particles located at r r ,..., l5 2 r in a volume V. The particles need not necessarily be identical in shape and N size. We consider a scalar field ψα at r , a point in space between the scat- a terers, which satisfies the wave equationt (V2 + k1)^ = 0, (14-1) where k = 2π/λ is the wave number of the medium surrounding the particles. Let us designate by φ° the incident wave in the absence of any particles at r 4 The field φα at r is then the sum of the incident wave φ° and the a fl contributions Ua from all N particles located at r , s = 1, 2, ..., N (see s s Fig. 14-1): r = Ψ-°+Σ usa (14-2) s=l Ua is the wave at r scattered from the scatterer located at r , and can be s a s expressed in terms of the wave φ5 incident upon the scatterer at r , and the s scattering characteristic (u a) of the particle located at r as observed at r . s s fl We write (Fig. 14-2) Ua = ιι«Φ». (14-3) s 5 Note that, in general, κ/Φ5 does not mean the product of u a and Φ5. Μ/Φ8 IS s only a symbolic notation to indicate the field at r due to the scatterer at r fl s t φ may be a pressure wave in the case of acoustics, or a rectangular component of the electric or magnetic field. } The superscript for a field such as φ" denotes the location at which the field is observed, and the subscript denotes the origin of that field.

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