安信可ESP-12S WIFI文档
安信可ESP-12S WIFI文档，安信可利用ESP8266芯片封装的12S模块，可以快速连接WIFI路由器，从而实现物联网！！ESP-12S规格书目录1.产品概述21.1.特点…………1.2.主要参数…垂·2.接口定义……3.外型与尺寸4.功能描述……84.1. MCU84.2.存储描述84.3.晶振,,,,,,+·++444.接口说明……4.5.最大额定值…104.6.建议工作环境114.7.数字端口特征…115.RF参数………………116.功耗127.倾斜升温…………………………………………138.原理图…………9.产品试用…16深圳市安信可科技有限公司http://www.ai-thinker.comESP-12S规格书1.产品概述ESP-12SwiFⅰ模块是由安信可科技开发的,该模块核心处理器εSP8266在较小尺寸封装中集成了业界领先的 Tensilica l106超低功耗32位微型MCU,带有16位精简模式,主频支持80MHz和160MHz,支持RTOS,集成Wi- FI MAC/BB/RF/ PA/LNA,板载天线。该模块攴持标准的IE802.11b/g/n协议,完整的τpP协议栈。用户可以使用该模块为现有的设备添加联网功能,也可以构建独立的网络控制器ESP8266是高性能无线SOC,以最低成本提供最大实用性,为WⅰFi功能嵌入其他系统提供无限可能。射频MAC接口接收②模拟接收寄存器SDIO门7SPI射频CPU内核发射模拟发射成帧器GPIO锁相环Hvco)12|锁相环加速器12C电源管理晶振偏置电路SRAM电源管理图1ESP8266EX结构图ESP8266EX是—个完整且自成体系的WFi网络解决方案,能够独立运行,也可以作为从机搭载于其他主机McU运行。ESP8266EⅩ在搭载应用并作为设备中唯一的应用处理器时,能够直接从外接闪存中启动。内置的髙速缓冲存储器有利于提高系统性能,并减少內存需求。另外—种情况是,ESP8266EⅩ负责无线上网接入承担WⅰFi适配器的任务时,可以将其添加到任何基于微控制器的设计中,连接简单易行,只需通过SPI/SDIO接口或I2C儿UART口即可。ESP8266EX强大的片上处理和存储能力,使其可通过GPIO口集成传感器及其他应用的特定设备,实现了最低前期的开发和运行中最少地占用系统资源。ESP8266EⅩ高度片內集成,包括天线开关 balun、电源管理转换器,因此仅需极少的外部电路,且包括前端模组在内的整个解决方案在设计时将所占PCB空间降到最低。深圳市安信可科技有限公司http://www.ai-thinker.comESP-12S规格书有ESP8266EX的系统表现出来的领先特征有∵节能在睡眠/唤醒模式之间的快速切换、配合低功率操作的自适应无线电偏置、前端信号的处理功能、故障排除和无线电系统共存特性为消除蜂窝/蓝牙/DDR/VDS/LCD干扰11.特点80211b/g/n·内置 Tensilica L106超低功耗32位微型McU,主频攴持80MHz和160MHz,支持RTOS·内置10bit高精度ADC内置TCPP协议栈内置TR开关、 balun、LNA、功率放大器和匹配网络内置PLL、稳压器和电源管理组件,802.11b模式下+20dBm的输出功率A-MPDU、A-MSDU的聚合和045的保护间隔WⅰFi@24GHz,支持WPA∧NPA2安全模式支持AT远程升级及云端OTA升级支持 STA/AP/STA+AP工作模式支持 Smart Config功能(包括 Android和ioS设备)HSPI、UART、I2C、I2S、 IR Remote control、PWM、GPIO深度睡眠保持电流为10uA,关断电流小于5uA2ms之内唤醒、连接并传递数据包·待机状态消耗功率小于1.0mW(DTM3)工作温度范围:-40°℃-125°C深圳市安信可科技有限公司http://www.ai-thinker.comESP-12S规格书12.主要参数表1介绍了该模组的主要参数。表1参数表类别参数说明标准认证FCC/CE/TELEC无线参数无线标准80211b/g/n频率范围24GHz-25GHz(2400M-24835M)UART/HSPI/I2C/12S/Ir Remote Contorl数据接口GPIO/PWM工作电压30~3.6V(建议33V)工作电流平均值:80mA硬件参数工作温度40°~125存储温度常温封装大小16mm x 24mm * 3mm外部接口N/A无线网络模式station/softAP/SoftAP+station安全机制WPA/PA2加密类型WEP/TKIP/AES升级固件本地串口烧录/云端升级/主机下载烧录软件参数支持客户自定义服务器软件开发提供SDK给客户二次开发网络协议Ipv4, Tcp/udp/Http/ftP用户配置AT+指令集,云端服务器 Android/ iOS APP深圳市安信可科技有限公司http://www.ai-thinker.com4ESP-12S规格书2.接口定义ESP-12S共接出16个接口,表2是接口定义。图2ESP-12S管脚图RST ID16 TXDBADC 2 aDI5 RXD8EN 314工05工015+p13041014512I0B工01261102I013710I015. 9GND表2ESP-12S管脚功能定义序号in脚名称功能说明1RST复位模组2ADOA/D转换结果。输入电压范围0~1V,取值范围:0~1024EN芯片使能端,高电平有效4IO16GPo16;接到RST管脚时可做 deep sleep的唤酲。IO14GPIO14 HSPI CLK6IO12GPIO12: HSPI MISOIO13GPIO13: HSPI MOSI UARTO CTSVCO33V供电GNDGND10IO15GPIo15: MTDO: HSPICS: UARTO RTS深圳市安信可科技有限公司http://www.ai-thinker.com5ESP-12S规格书102GPIO2 UART1 TXD12100GPIOO13IO4GPIO414IO5GPIO515RXDUARTO RXD: GPIO3TXDUARTO TXD: GPIO1表3引脚模式模式GPIO15GPIOOGPIO2UART下载模式低Flash boot模式低低高高高表4接收灵敏度参数最小小值典型值最大值单位输入频率24122484MHZ输入电阻50输入反射-10dB722Mbps下,PA的输出功率141516d Bm11b模式下,PA的输出功率17.518.5195d Bm灵敏度DSSS,1 Mbps-98d BmCCK, 11 Mbps-91d Bm6 Mbps(1/2 BPSk)93d bm深圳市安信可科技有限公司http://www.ai-thinker.comESP-12S规格书54 Mbps(3/4 64-QAM)dBHT20, MCS7(65 Mbps, 72.2 Mbps)d Bm邻频抑制OFDM, 6 Mbps37dBOFDM, 54 Mbpsd BHT20 MCSO37d BHT20, MCS7203.外型与尺寸ESP-12S贴片式模组的外观尺寸为24mm*16mm*3mm(如图3所示)该模组采用的是容量为4MB,封装为SOP-210mil的 SPI Flash。模组使用的是3DBi的PCB板载天线。CeaESP-12scE0890FCC ID:2AHMR-ESP12SSMLAG 802-图3ESP-12S模组外观深圳市安信可科技有限公司http://www.ai-thinker.comESP-12S规格书16m16mm图4ESP-12S模组尺寸平面图表5ESP-12S模组尺寸对照表长宽PAD尺寸(底部)Pin脚间距24 mm16 mm3 mm1 mm x 1.2 mm 2 mm4.功能描述41. MCUESP8266EX内置τ ensilica l106超低功耗32位微型McU,带有16位精简模式,主频攴持80MHz和160MHz,支持RTOS。目前WiFi协议栈只用了20%的MIPS,其他的都可以用来做应用开发。McU可通过以下接口和芯片其他部分协同工作:1连接存储控制器、也可以用来访问外接闪存的编码RAM/ROM接口(BuS)2冋同样连接存储控制器的数据RAM接口(dBus)3访问寄存器的AHB接口4.2.存储描述421.内置SRAM与RoMESP826EX芯片自身內置了存储控制器,包含ROM和SRAM。MCU可以通过iBus、dBus和AHB接口访问存储控制器。这些接口都可以访问R○M或RAM单元,存储仲裁器以到达顺序确定运行顺序。基于目前我司 DemO sdK的使用SRAM情况,用户可用剩余SRAM空间为: RAM size
- 2020-12-08下载
- 积分：1
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
- 2020-12-01下载
- 积分：1
