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Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms

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  • 发布时间:2020-08-03
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【实例简介】
Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms
Inverse Synthetic perture radar Ap Imaging with MATLAB Algorithms WILEY SERIES IN MICROWAVE AND OPTICAL ENGINEERING KAI CHANG, Editor Texas A&M University A complete list of the titles in this series appears at the end of this volume Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms CANER OZDEMIR PhD Mersin University Mersin, Turkey WILEY A JOHn WILEY SONs, INC, PUBLICATION Copyright o 2012 by John Wiley Sons, Inc. All rights reserved Published by john wiley sons Inc.. Hoboken, New Jersey Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA 01923, (978)750-8400, fax(978)750-4470, or on the web at www.copyright.comRequeststothePublisherforpermissionshouldbeaddressedtothe Permissions Department, John Wiley sons, Inc, 111 River Street, Hoboken, NJ07030 (201)748-6011,fax(201)748-6008,oronlineathttp://www.wiley.com/go/permissions Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages. For general information on our other products and services or for technical support, please contact our Customer Care Department within the United States at(800)762-2974, outside the United States at (317)572-3993 or fax(317)572-4002 wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic formats. For more information about Wiley products, visitourwebsiteatwww.wiley.com Library of congress Cataloging-in-Publication Data: Ozdemir. Caner p.cm-(Wiley series in microwave and optical engineering: 210/ Inverse synthetic aperture radar imaging with MatlAB /Caner Ozdem Includes bibliographical references ISBN978-0-470-28484-1( hardback) 1. Synthetic aperture radar. 2. MATLAB. I Title TK6592.S950932011 621.38485-dc23 2011031430 Printed in Singapore 10987654321 My wife My three daughters, My brother My father, and the memory of my beloved mother Contents Preface Acknowledgments XVII Basics of fourier analysis 1.1 Forward and Inverse fourier transform 1.1.1 Brief History of FT 1. 1.2 Forward FT Operation 1.1.3IFT 1.2 FT Rules and pairs 1.2.1 Linearity 1.2.2 Time Shifting 1.2.3 Frequency Shifting 1.2.4 Scaling 1.2.5 Duality 1.2.6 Time Reversal 11223334444445 1.2.7 Conjugation 1.2.8 Multiplication 1.2.9 Convolution 1.2.10 Modulation 1.2.11 Derivation and Integration 1.2.12 Parseval's Relationship 1.3 Time-Frequency Representation of a Signal 1.3.1 Signal in the Time Domain 1.3.2 Signal in the Frequency Domain 1.3.3 Signal in the (JTF) Plane 667 VIll VIII CONTENTS 1.4 Convolution and Multiplication USing FT 1.5 Filtering/windowing 1.6 Data Sampling 14 1.7 Dft and fft 1.7.1DFT 1.7.2FFT 1.7.3 Bandwidth and resolutions 44689 1.8 Aliasing 1.9 Importance of FT in Radar Imaging 1.10 Effect of Aliasing in Radar Imaging 22 1.11 Matlab Codes Re eferences 31 2 Radar Fundamentals 33 2.1 Electromagnetic(EM) Scattering 2.2 Scattering from PEC 36 2.3 Radar Cross Section(RCS) 37 2.3.1 Definition of rcs 2.3.2 RCS of Simple Shaped Objects 2.3.3 RCS of Complex shaped objects 2.4 Radar range Equation 2.4.1 Bistatic Case 2.4.2 Monostatic Case 2. 5 Range of Radar Detection 48 2.5.1 Signal-to-Noise Ratio(SNR) 50 2. 6 Radar Waveforms 51 2.6.1CW 51 2.6.2 FMCW 54 2.6.3 SFCW 2. 6. 4 Short pulse 2.6.5 Chirp (LFM) Pulse 2.7 Pulsed radar 2.7.1PRF 2.7.2 Maximum Range and Range ambiguity 67 2.7.3 Doppler Frequency 68 2. 8 Matlab Codes References 【实例截图】
【核心代码】

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