ZYNQ中文资料书
中文版详细的ZYNQ基础知识，可以使刚接触ZYNQ有系统的认识。The zong book基于含有 ARM Cortex9的 Xilinx Zyng网-7000全可编程片上系统的嵌入式处理器se h. crockett ross a elliotMartin A. Enderwitz robert w. stewartJianfeng Lu(中文痂)Department of Electronic and Electrical EngineeringUniversity of StrathclydeScotland, uK翁恺博士Dr.K.Wen(h文翻译浙江大学(中国)第一版(中文版)This edition first published June 2016 by Strathclyde Academic MediaLouise h. crockett ross a. elliot, martin a. enderwitz and robert w. stewart开源许可此书既有印刷版又有电子版(PDF格式)。在衍生文件中明确标注参考内容初始来源的前提下,本书中任何文本和图表可以被复制,并用于非营利性的学术目的。参考格式应当遵循以下格式L.H. Crockett, R. A. Elliot, M. A. Enderwitz and R W. Stewart, The Zynq Book: Embedded Processing withthe ARM Cortex-A9 on the Xilinx Zynq-7000 All Programmable Soc, First Edition, Strathclyde AcademicMedia, 2016将本书中内容用于其他非营利性学术目的的,请联系info@zyngbook.com。此书不能以原始的格式使用,也不能被末授权的第三方机构销售。习题教材习题教材在本书的官方网站上发布:www.zynqbook.com参考此习题教材同样适用于开源许可条及在本页其他位看提到的警告和免麦声明警告和免责声明作者、出版人在硏究所包含的课趑和编写例懃时,已经尽了最大的努力来提供准确、最新的信息。本着倣得最好的理念,书中包含的材料以“原样”的形式提供,但是无论是作者还是出版人没有任何明确或者隐含的承诺来保证书中所包含内容的准确性。书中包含的任何信息直接或间接导致的任冋损失、损坏,作者和岀版人将不会承担法律责任。商标ARM, Cortex,AMBA, Thumb和 Trustzone都是ARM有限公司(或其子公司)在欧洲和(或)世界其他各地注册的商标。保留所有权利NECN是ARM有跟公司(或其子公司)在欧洲和(或)世界其他各地的商标。保留所有权利。此出版物是独立的,不属于ARM有限公司。ARM有限公司也没有认可、赞劻或授权此出版物Xinx(xinx公司的logo),Artⅸ,ISE, Kintex, LogiCORE, Petalogix, Spartan, virtex,vⅳado,zynq,和Web pAck是 Xilinx注册的商标。保留所有权利。MATLAB和 Simulink是 MathWork5公司注册的商标。Linux的是 Linus torvalds在美国和其他国家注册的商标。本书中使用的所有其他商标属于其各自的公司。本书中使用这些商标并不意味着本书拥有、认可这些商标。目录前言作者简介XXI鸭谢章节引言鲁鲁D自。自。自d看非鲁鲁。音D鲁。111zynq的片上系统12嵌入式SoC的简单剖析…..13设计重用14提升抽象层级1.5S0C设计流16实践单元17关于本书18参考文献PART A开始了解Zynq…13章节2Zynq芯片(“是什么”)1521处理器系统211应用处理器单元(APU)212关丁ARM模式…202.1.3处理器系统外部接口2122可编程逻辑22221逻辑部分2.2.2特殊资源:DSP48E1和块RAM522.3通用输入/输出28224通信接口2.2.5其他可编程逻辑扩展接1|……2923处理器系统与可编程逻辑的接口………30231AXI标准…3023.2AXⅠ互联和接口…23.3EMI0接口…342.34共他PL-PS信号3424安全241安仝引导,3524.2硬件支持3624.3运行时刻安全3625Zynq-7000系列成员…3926本章回顾4027架构参考指南4128参考文献4章节3zynq设计指南(“如何使用它?”)…473.1入门∴1483.11获取设计工具…3.12开发工具内部版本和证书31.3设计工具功能3.14第三方工具3.1.5系统安装和需求513.2设计流程概述32.1需求和技术参数…3.2,2系统设计···543.2.3硬件开发和测试324软件开发和测试…583.2.5系统集成和测试603.3S0C设计团队6034使用 Vivado进行以IP为重点的系统级设计35ISE和 Vivado设计套件3.51特性比较64352升级到Vl vado3.6开发板3.6.1 Zynq-7000 SoC ZC702 Evaluation Kit .....673.6.2 Zynq-7000 Soc video imaging kit693.6.3 Zyng-7000 ZC706 Evaluation kit693.6.4 ZedBoard63.6.5ZYB06936.6第三方开发板70367附件和扩展36.8使用开发板工作723.7支持和文档38章节回顾39参考文献章节4芯片比较(“为什么我需要Zyna?”)中中4.1芯片选择的条件42比较一:Zynq对FPGA80421Ⅶ icroblaze处理器8042,2Ⅶ icroblaze单片机系统844.2.3 Picoblaze854.2.4 ARM Cortex-M8542.5其他处理器类型…8542.6总结说明8743比较二:Zynq对标准处理器89431处理器操作89432执行分机433总结说明9444比较三:Zynq对分立的FPGA处理器组合45拓展Zynq架构和设计流9646本章回顾47参考文献…99章节5应用和机会(“拿它能做什么?”).1015.1应用的概述,10251.1汽车102512通信5.1.3防务和航空航大∴1035.14机器人、控制和仪器1045.1.5图像和视频处理l0451.6医药1055.1.7高性能计算(HPC)1055.18其他及未来的应用10552何时Zynq真的有用...1065.3通信:软仆定义无线电(SDR)107531在无线通信中的趋势10753,2介绍软件定义无线电(SDR)l08533SDR的实现和授权技术108534认知无线电54智能系统和智能网络11154.1什么是智能系统542智能系统的例子112543智能网络:智能系统的通信114544相关桃念∴5.5图像和视频处理,及计算机视觉5.5.1图像与视频处理1155.5,2计算机视觉…116553抽象的层级…..1175.54图像处理系统的实现1185.55Zynq上的计算机视觉的例子:道路标识识别…12056动态片上系统12156.1运行时刻系统灵活性121562动态部分重配置(DPR)12156.3DPR应用的例子…564DPR的好处…..124571什么是生态系统?系统57更多的机会:zynq的“生态,125125572有什么机会?12658本章回顾1285.9参考文献………128章节6 The Zedboard∴1336.1介绍Zed…336.2 edboard系统架构1346.3 Zedboard设计流程13664 SeaBoard入门」137641盒子里有什么?137642使件安装13764.3烧写 Zedboard1386.5 MicroZed14266文档,教程和支持14266.1关」 Zedboard的文档…126.62演小和教程14366.3在线课程…14366,4其他 Zedboard资源和支持14467 Zedboard.org社区…144671社区工程44672博客144673支持论坛14568本章回顾14569参考文献146章节7教育、研究和培训∴…自看·鲁。非。鲁自。自。鲁。鲁自普●。。●音。。鲁D。。。。自着垂··。音。鲁D1477.1技术趋势和SoC教育1487.2大学用Zynq教学149721用 Xilinx工具和板教学149722数字设计和FPGA教学…150723计算机科学…150724嵌入式系统和SOC设计1507.2.5算法实现(如信号、图像和视频处理15172.6设计重用152727新的和正在出现的设计方法15372.8传感、机器人和原型154729一个例子课程15473项日和竞争74学术研究75 Xilinx大学计划(XUP)15875,1介绍XUP752软件技术和许可158753XUP开发和教学板…159754XUP研讨会和培训材料159755对大学的投术支持1607.5.6资格160757联系XUP1607.6企业培训1607.6.1诛程的授权的培训提供者…1607.6.2其他资源16176.3在线视频l6177本章回顾16178参考文献章节8 Zynq的第一个工程.658.1软件安装指导目标和结果16683练习1A概述…ss………s……I6684练习1B概述1678.5练习1C概述l6886可能的扩展16987接下来是什么?16988参考文献169PART BZynq Soc&硬件设计。告D。垂D。0。春DD。。。。B看D。。。l71章节9嵌入式系统和FPGA.7391什么是嵌入式系统?173911应用1174912一般嵌入式系统架构…..17592处理器2.1协处理器17922处理器 cache177923执行周期179924中断18393总线184
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MATLAB在卡尔曼滤波器中应用的理论与实践Kalman
MATLAB在卡尔曼滤波器中应用的理论与实践KalmanKALMAN FILTERINGTheory and Practice Using MATLABThird editionMOHINDER S GREWALCalifornia State University at FullertonANGUS P. ANDREWSRockwell Science Center (retired)WILEYA JOHN WILEY & SONS, INC. PUBLICATIONCopyright 2008 by John Wiley sons, Inc. All rights reservedPublished by John Wiley sons, InC, Hoboken, New JerseyPublished simultaneously in CanadaNo part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or byany means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permittedunder Section 107 or 108 of the 1976 United States Copyright Act, without either the prior writtenpermission of the Publisher, or authorization through payment of the appropriate per-copy fee to theCopyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA 01923,(978)750-8400, fax(978)750-4470,oronthewebatwww.copyright.com.RequeststothePublisherforpermissionshouldbe addressed to the Permissions Department, John Wiley Sons, Inc, lll River Street, Hoboken, NJ07030,(201)748-6011,fax(201)748-6008,oronlineathttp://www.wiley.com/go/permissionimit of liability Disclaimer of Warranty: While the publisher and author have used their best efforts inpreparing 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 orfitness for a particular purpose. No warranty may be created or extended by sales representatives orwritten sales materials. The advice and strategies contained herein may not be suitable for your situationYou should consult with a professional where appropriate. Neither the publisher nor author shall be liablefor any loss of profit or any other commercial damages, including but not limited to special, incidentalconsequential, or other damagesFor general information on our other products and services or for technical support, please contact ourCustomer Care Department within the United States at(800)762-2974, outside the United States at(317)572-3993 or fax(317)572-4002Wiley also publishes its books in a variety of electronic formats. Some content that appears in print maynot be available in electronic format. For more information about wiley products, visit our web site atwww.wiley.comLibrary of Congress Cataloging- in-Publication DataGrewal. Mohinder sKalman filtering: theory and practice using MATLAB/Mohinder S. GrewalAngus p. andrews. 3rd edIncludes bibliographical references and indexISBN978-0-470-17366-4( cloth)1. Kalman filtering. 2. MATLAB. I. Andrews, Angus P. II. TitleQA402.3.G69520086298312—dc22200803733Printed in the United States of america10987654321CONTENTSPrefaceAcknowledgmentsXIIIList of abbreviationsXV1 General Information1.1 On Kalman Filtering1.2 On Optimal Estimation Methods, 51. 3 On the notation Used In This book 231. 4 Summary, 25Problems. 262 Linear Dvnamic Systems2. 1 Chapter focus, 312.2 Dynamic System Models, 362. 3 Continuous Linear Systems and Their Solutions, 402.4 Discrete Linear Systems and Their Solutions, 532.5 Observability of Linear Dynamic System Models, 552.6 Summary, 61Problems. 643 Random Processes and Stochastic Systems3.1 Chapter Focus, 673.2 Probability and random Variables (rvs), 703.3 Statistical Properties of RVS, 78CONTEN3.4 Statistical Properties of Random Processes(RPs),803.5 Linear rp models. 883.6 Shaping Filters and State Augmentation, 953.7 Mean and Covariance propagation, 993.8 Relationships between Model Parameters, 1053.9 Orthogonality principle 1143.10 Summary, 118Problems. 1214 Linear Optimal Filters and Predictors1314.1 Chapter Focus, 1314.2 Kalman Filter. 1334.3 Kalman-Bucy filter, 1444.4 Optimal Linear Predictors, 1464.5 Correlated noise Sources 1474.6 Relationships between Kalman-Bucy and wiener Filters, 1484.7 Quadratic Loss Functions, 1494.8 Matrix Riccati Differential Equation. 1514.9 Matrix Riccati Equation In Discrete Time, 1654.10 Model equations for Transformed State Variables, 1704.11 Application of Kalman Filters, 1724.12 Summary, 177Problems. 1795 Optimal Smoothers5.1 Chapter Focus, 1835.2 Fixed-Interval Smoothing, 1895.3 Fixed-Lag Smoothing, 2005.4 Fixed-Point Smoothing, 2135.5 Summary, 220Problems. 226 Implementation Methods2256. 1 Chapter Focus, 2256.2 Computer Roundoff, 2276.3 Effects of roundoff errors on Kalman filters 2326.4 Factorization Methods for Square-Root Filtering, 2386. 5 Square-Root and UD Filters, 2616.6 Other Implementation Methods, 2756.7 Summary, 288Problems. 2897 Nonlinear Filtering2937.1 Chapter Focus, 2937.2 Quasilinear Filtering, 296CONTENTS7.3 Sampling Methods for Nonlinear Filtering, 3307.4 Summary, 345Problems. 3508 Practical Considerations3558.1 Chapter Focus. 3558.2 Detecting and Correcting Anomalous behavior, 3568.3 Prefiltering and Data Rejection Methods, 3798.4 Stability of Kalman Filters, 3828. 5 Suboptimal and reduced- Order Filters, 3838.6 Schmidt-Kalman Filtering, 3938.7 Memory, Throughput, and wordlength Requirements, 4038.8 Ways to Reduce Computational requirements 4098.9 Error Budgets and Sensitivity Analysis, 4148.10 Optimizing Measurement Selection Policies, 4198.11 Innovations analysis, 4248.12 Summary, 425Problems. 4269 Applications to Navigation4279.1 Chapter focus, 4279.2 Host vehicle dynamics, 4319.3 Inertial Navigation Systems(INS), 4359. 4 Global Navigation Satellite Systems(GNSS), 4659.5 Kalman Filters for GNSS. 4709.6 Loosely Coupled GNSS/INS Integration, 4889.7 Tightly Coupled GNSS /INS Integration, 4919. 8 Summary, 507Problems. 508Appendix A MATLAB Software511A 1 Notice. 511A 2 General System Requirements, 511A 3 CD Directory Structure, 512A 4 MATLAB Software for Chapter 2, 512A. 5 MATLAB Software for Chapter 3, 512A6 MATLAB Software for Chapter 4, 512A. 7 MATLAB Software for Chapter 5, 513A 8 MATLAB Software for Chapter 6, 513A 9 MATLAB Software for Chapter 7, 514A10 MATLAB Software for Chapter 8, 515A 11 MATLAB Software for Chapter 9, 515A 12 Other Sources of software 516CONTENAppendix b A Matrix Refresher519B. 1 Matrix Forms. 519B 2 Matrix Operations, 523B 3 Block matrix Formulas. 527B 4 Functions of Square Matrices, 531B 5 Norms. 538B6 Cholesky decomposition, 541B7 Orthogonal Decompositions of Matrices, 543B 8 Quadratic Forms, 545B 9 Derivatives of matrices. 546Bibliography549Index565PREFACEThis book is designed to provide familiarity with both the theoretical and practicalaspects of Kalman filtering by including real-world problems in practice as illustrativeexamples. The material includes the essential technical background for Kalman filter-ing and the more practical aspects of implementation: how to represent the problem ina mathematical model, analyze the performance of the estimator as a function ofsystem design parameters, implement the mechanization equations in numericallystable algorithms, assess its computational requirements, test the validity of resultsitor the filteThetant attributes ofthe subject that are often overlooked in theoretical treatments but are necessary forapplication of the theory to real-world problemsIn this third edition, we have included important developments in the implemen-tation and application of Kalman filtering over the past several years, including adaptations for nonlinear filtering, more robust smoothing methods, and develelopingapplications in navigationWe have also incorporated many helpful corrections and suggefrom ourreaders, reviewers, colleagues, and students over the past several years for theoverall improvement of the textbookAll software has been provided in MatLab so that users can take advantage ofits excellent graphing capabilities and a programming interface that is very close tothe mathematical equations used for defining Kalman filtering and its applicationsSee Appendix a for more information on MATLAB softwareThe inclusion of the software is practically a matter of necessity because Kalmanfiltering would not be very useful without computers to implement it. It provides aMATLAB is a registered trademark of The Mathworks, IncEFACEbetter learning experience for the student to discover how the Kalman filter works byobserving it in actionThe implementation of Kalman filtering on computers also illuminates some of thepractical considerations of finite-wordlength arithmetic and the need for alternativealgorithms to preserve the accuracy of the results. If the student wishes to applywhat she or he learns, then it is essential that she or he experience its workingsand failings--and learn to recognize the differenceThe book is organized as a text for an introductory course in stochastic processes atthe senior level and as a first-year graduate-level course in Kalman filtering theory andapplicationIt can also be used for self-instruction or for purposes of review by practi-cing engineers and scientists who are not intimately familiar with the subject. Theorganization of the material is illustrated by the following chapter-level dependencygraph, which shows how the subject of each chapter depends upon material in otherchapters. The arrows in the figure indicate the recommended order of study. Boxesabove another box and connected by arrows indicate that the material represented bythe upper boxes is background material for the subject in the lower boxAPPENDIX B: A MATRIX REFRESHERGENERAL INFORMATION2. LINEAR DYNAMIC SYSTEMSRANDOM PROCESSES AND STOCHASTIC SYSTEMS4. OPTIMAL LINEAR FILTERS AND PREDICTORS5. OPTIMAL SMOOTHERS6. IMPLEMENTATIONMETHODS7. NONLINEAR8. PRACTICAL9. APPLICATIONSFILTERINGCONSIDERATIONSTO NAVIGATIONAPPENDIX A: MATLAB SOFTWAREChapter l provides an informal introduction to the general subject matter by wayof its history of development and application. Chapters 2 and 3 and Appendix b coverthe essential background material on linear systems, probability, stochastic processesand modeling. These chapters could be covered in a senior-level course in electricalcomputer, and systems engineeringChapter 4 covers linear optimal filters and predictors, with detailed examples ofapplications. Chapter 5 is a new tutorial-level treatment of optimal smoothing
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