无线通信与车联网测试技术

esp8266-12E的说明书，PDF文档，其他地方不大容易找的。EsP-12E规格书目录1.产品概述21.1.特点1.2.主要参数………垂4由非垂·······:·2.接口定义……4573.外型与尺寸……4.功能描述41. MCU4.2.存储描述99994.3.晶振4.4.接口说明………………104.5.最大额定值4.6.建议工作环境……114.7.数字端口特征115.RF参数126.功耗……………137.倾斜升温……148.原理图…非垂非9.产品试用16深圳市安信可科技有限公司http://www.ai-thinker.comEsP-12E规格书1.产品概述ESP-12EWFⅰ模块是由安信可科技开发的,该模块核心处理器ESP8266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τcPP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接口接收模拟接收匚寄存器」SPI射频CPU内核发射模拟发射心成帧器GPIO加速器12C锁相环H(co)12锁相环电源管理晶振偏置电路SRAM电源管理图1ESP8266EX结构图ESP8266EX是一个完整且自成体系的WF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。内置的高速缓冲存储器有利于提高系统性能,并减少內存需求。另外一种情况是,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/SDO接口或I2 C/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高度片内集成,包括天线开关 balerη、电源管理转换器,因此仅需极少的外部电路,且包括前端模组在內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.com2EsP-12E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/ LVDS/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PL、稳压器和电源管理组件,802.11b模式下+20dBm的输岀功率A-MPDU、A-MSDU的聚合和0.45的保护间隔WiFi@2.4GHz,支持 WPA/WPA2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.com3EsP-12E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无线标准80211b/g/n无线参数频率范围24GHz-25GHz(2400M24835M)数据接口UART/HSPL/I2C/I2S/Ir Remote ContorlGPIO/PWM工作电压30~36V(建议3.3V)工作电流平均值:80mA工作温度40°~125硬件参数存储温度常温封装大小16mm x 24mm x 3mm外部接口N/A无线网络模式station/softAP/SoftAP+station安全机制WPA/WPA2加密类型WEP/TKIP/AES升级固件本地串口烧录/云端升级/主机下载烧录支持客户自定义服务器软件开发软件参数提供SDK给客户二次开发Ipv4, Tcp/udp/Http/ftp网络协议AT+指令集,云端服务器, Android/iOS APP用户配置深圳市安信可科技有限公司http://www.ai-thinker.com4EsP-12E规格书2.接口定义ESP-12E共接出18个接口,表2是接口定义。图2ESP-12E管脚图. RXDEN(CH-PD..GPIOSGPIO16.a.. GPIO4ESP-12EGPIO14..D GPIOOGPIo12·。◆GPIo2GPIO13.aD GPIO15ESP 12E表2ESP-12E管脚功能定义序号Pin脚名称功能说明1RST复位模组ADOA/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4IO16GPIO16;接到RST管脚时可做 deep sleep的唤醒5IO14GPIO14: HSPI CLKIO12GPIO 12, HSPI MISOIO13GPIO13 HSPI MOSI: UARTO CTSVCC33V供电CSO片选10MISO从机输出主机输入深圳市安信可科技有限公司http://www.ai-thinker.com5EsP-12E规格书109GPIo912IO10GBIO1013MOSI主机输出从机输入14SCLK时钟15GNDGND16IO15GPIO15: MTDO: HSPICS: UARTO RTS17102GPIo2: UART1 TXD18IOOGPIOO19IO4GPIO420IO5GPIO521RXDUARTO RXD: GPIO322TXDUARTO TXD: GPIO1表3引脚模式模式GPIO15GPIOG PIO2UART下载模式低低局Flash boot模式表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输入电阻输入反射-10dB72.2Mbps下,PA的输出功率141516d Bm深圳市安信可科技有限公司http://www.ai-thinker.com6EsP-12E规格书11b模式下,PA的输出功率17.518.519.5d Bm灵敏度DSSS, 1 Mbps98d BmCCK, 11 Mbps-91d Bm6 Mbps(1/2 BPSK93d Bm54 Mbps (3/4 64-QAM)75d BmHT20, MCS7(65 Mbps, 72.2 Mbps)72d Bm邻频抑制OFDM, 6 Mbps37dBOFDM, 54 Mbps21dHT20, MCSO37dBHT20. MCS7dB3.外型与尺寸ESP-12E贴片式模组的外观尺寸寸为16mm*24mm*3mm(如图3所示〉该模组采用的是容量为4MB,封装为SOP-210mi的 SPI Flash。模组使用的是3DBⅰ的PCB板载天线。深圳市安信可科技有限公司http://www.ai-thinker.comEsP-12E规格书图3ESP-12E模组外观CAr个ESP-12E5m2mt3mm图4ESP-12E模组尺寸平面面图表5ESP-12E模组尺寸对照表长宽PAD尺寸(底部)Pin脚间距16 mm24 mm3 mm0.9 mm x 1.7 mm 2 mm深圳市安信可科技有限公司http://www.ai-thinker.com8

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使用QT5编写的五子棋，可以选择游戏模式（人机或者人人）以及棋子颜色，AI是参考别人的

FAST算法原理：若某像素与其周围邻域内足够多的像素点相差较大，则该点可能是角点。用FAST算法检测角点，代替差分高斯金字塔取极值检测角点的方法，速度块；接着用SIFT特征描述符描述角点，省略尺度空间值，只用原图像中角点邻域的梯度值和方向计算角点主方向，接着计算32个方向向量来描述角点。之和可用于特征点匹配。

5G无线通信系统关键技术（剑桥大学出版社） 2017年出版 对于5G所有最新技术进行了详细说明 很全的工具书Key Technologies for5G Wireless SystemsVINCENT W. S, WONGUniversity of British ColumbiaROBERT SCHOBERUniversity of Erlangen-NurembergDERRICK WING KWAN NGUniversity of New South WalesLI-CHUN WANGNational Chiao-Tung University即CAMBRIDGEUNIVERSITY PRESSCAMBRIDGEUNIVERSITY PRESSUniversity Printing House. Cambridge CB2 SBS. United KindomOne Liberty Plaza, 20h Floor New York, NY I(H0X, USA477 williamstown Road, port Melbourne, yic 3207 australia48424, 2nd Floor, Ansar Rod, Daryaganj. Delhi- I l4XH2, India79 Anson Road, #o6-(/ 00, Singapore 079%MCambridge University Press is part of the Lniversity of CambridgeIt furthers the University s mission by disseminating knowledge in the pursuit ofeducation, leaming and research at the highest international levels of excellence.www.cermbrid吧eInformtiononthistitlewww.cambridgeorg/978110713241810,1017③781316771655C Cambridge University Press 2017This puhlication is in copyright. Subjcct to sututonry exceptionand to the provisions of relewant collective licensing agreementsno reproduction of any part may take place without the writtenpermission of Cutmbridgre University Press.First published 2(117Printed in the United Kingdom by TJ International Ltd. Padstow, CornwallA catalogue recor for this pudlieafiove is aailable fromm the British LibraryLibrary of Congress Cataloging- in Pi hlicaiomz dataNames: Wong, Vincent W.S., editorTitle: Key technologies for 5G wireless systems/edited by Vincent W.S. Wong [and 3 otherOther titles key technologies for five g wireless svstemsDescription: Carmbrisige: New York, NY: Cambridge Lniversity Press, 2017.Identifiers: l CCN 2016045220)1 ISBN 9781 172418 (hardback)Subjects: LCSH: Wireless communication systems, I Machine-to-machinecommunications. Internet of things.Classitication: LCC TKs1032K49 2(17 DDC 621.38450-dc23LcrecordavailaBleathttps://lccnioc-gov/2016m5220)ISBN 978-1-107-17241- HardbackCambridge University Press has no responsibility for the persistence or accuracy ofURLs for extermal or third-party Internet websites referred to in this puhlication,and does not guarantee that any content on such websites is, or will remainaccurate of appropriateContentsList of Contributorspage xvIPrefaceKXIOverview of New Technolog ies for 5G SystemsVincent W S, Wong, Robert Schober, Derrick Wing Kwan Ng, and Li-Chun Wang1.1 Introduction1.2 Cloud Radio Access Networks1.3 Cloud Computing and Fog Computing1. 4 Non-orthogonal Multiple Access1. 5 Flexible Physical Layer Design334.4671. 6 Massive MIMo1. 7 Full-Duplex Communications1. 8 Millimeter wave1.9 Mobile Data Offloading, LTE-Unlicensed, and Smart Data Pricing131. 10 IoT M2M. and D2D1. I1 Radio Resource Management, Interference Mitigation, and Caching61. 12 Energy Harvesting Communications1. 13 Visible Light Communication19Acknowledgments20ReferencesPart I Communication Network Architectures for 5G Systems25Cloud Radio Access Networks for 5G Systems27Chih-Lin I, Jinn Huang, Xueyan Husang, Rongwved Ren, and Yami. Chen2.1 Rethinking the Fundamentals for 5G Systems272 User- Centric Networks2923 C-RAN Basics292.3.1 C-RAN Challenges Toward SGI302.4 Next Generation Fronthaul Interface (NGFI: The FH Solutionfor SGC-RAN312. 4.1 Proof-of-Concept Development of NGFI33Contents2.5 Proof-of-Concept Verification of Virtualized C-RAN2.5.1 Data packets3725.2 Test Procedure382.5.3 Test Results392. 6 Rethinking the Protocol Stack for C-RAN2.6.1 Motivation402.6.2 Multilevel Centralized and Distributed Protocol Stack402.7 Conclusion45AcknowledgmentsReferencesFronthaul-Aware Design for Cloud Radio Access Networks48Liang Liu, Wei Yu, and Osvaldo Simeone3. 1 Introduction483.2 Fronthaul-Aware Cooperative Transmission and Reception493. 2.1 Uplink513.2.2 Downlink573.3 Fronthaul-Aware Data Link and Physical layers61.3. I Uplink633.3.2 Downlink693.4 Conclusion73Acknowledgments74References74MobEdge computing76Ben Liang4.1 Introduction764.2 Mobile Edge Computing774.3 Reference architecture794.4 Benefits and Application Scenarios804 4.1 User-Oriented Use cases4. 4.2 Operator-Oriented Use Ca814 5 Research challenges824.5.1 Computation Offloading824.5.2 Communication Access to Computational Resources834.5.3 Multi-resource Schedulin844.5 4 Mobility Management854.5.5 Resource Allocation and Pricing4.5.6 Network functions virtualization864.5, 7 Security and Pri864.5.8 Integration with Emerging Technologies874.6 Conclusion88ReferencesContentsDecentralized Radio Resource Management for Dense HeterogeneousWireless networksAbolfazl Mehhodniya and Fumiyuki Adach5.1 Introduction925.2 System Model935.2.1 SINR Expression5.2.2 Load and Cost Function Expressions955.3 Joint BSCSA/UECSA ON/OFF Switching Scheme965.3.1 StrateTy Selection and Beacon Transmission53.2 UE AssocIation5.3.3 Proposed Channel Segregation Algorithms985.3.4 Mixed-Strategy Update3.4 Computer Simulation5.5 Conclusion104Acknowledgments04References105Part ll Physical Layer Communication Techniques107Non-Orthogonal Multiple Access(NOMA)for 5G Systems109Wei Llang, Zhiguo Ding, and H. Vincent Poor6.1 Introduction1106.2 NOMA in Single-Input Single-Output(SISO)Systems1126.2.1 The basics of nomaI126. 2. 2 Impact of User Pairing on NOMA136.2,3 Cognitive Radio Inspired NOMA6. 3 NOMA in MIMO Systems1206.3.1 System Model for MIMO-NOMA Schemes1216.3.2 Design of Precoding and Detection Matrices with Limited CSIT 1236.3.3 Design of Precoding and Detection Matrices with Perfect CSIT 1266.4 Summary and Future Directions128ReferencesFlexible Physical Layer Design133Maximilian Matthe, Martin Danneberg, Dan Zhang, and Gerhard Fettweis7.1 Introduction1337. 2 Generalized Frequency Division Multiplexing357.3 Software-Defined waveform1377. 3. 1 Time Domain Processing1387.3.2 Implementation Architecture1387.4 GFDM Receiver Design14174 Synchronization unit1427. 4.2 Channel Estimation Unit1474.3 MIMo-GFDM Detection Unit145Contents7.5 Summary and Outlook147Acknowledgments148References488Distributed Massive MIMO in Cellular Networks15IMichail Matthaiou and Shi Jin8. I Introduction15l8. 2 Massive MIMO: Basic Principles1528.2.1 Uplink Downlink Channel Models1538.2.2Favorable Propagation1548.3 Performance of Linear Receivers in a Massive MIMO Uplink1548.4 performance of linear precoders in a massive mimo downlink1578. s Channel estimation in massive mimo systems1588.5.1 Uplink Transmission1598.5.2 Downlink Transmission1608.6 Applications of Massive MIMO Technology1618.6.1 Full-Duplex Relaying with Massive Antenna Arrays1618.6.2 Joint Wireless Information Transfer and Energy Transfer forDistributed massive mimo1638.7 Open Future Research Directions1678. 8 Conclusionl68References169Full-Duplex Protocol Design for 5G Networks172Tanelf Ahonen and Risto wichman9.1 Introduction1729. 2 Basics of Full-Duplex Systems1739.2.1 In-Band Full-Duplex Operation Mode1739.2.2 Self-Interference and Co-channel Interference1749.2.3 Full-Duplex Transceivers in Communication Links1759. 2. 4 Other Applications of Full-Duplex Transceivers1789.3 Design of Full-Duplex Protocols1799.3, 1 Challenges and Opportunities in Full-Duplex Operation1799.3.2 Full-Duplex Communication Scenarios in 5G NetworksR9.4 Analysis of Full-Duplex Protocols1829.4.1 Operation Modes in Wideband Fading Channels1829. 4, 2 Full- Duplex Versus Half-Duplex in Wideband Transmission1849.5 Conclusion1849.5.1 Prospective Scientific Research DirectionsI849.5.2 Full-Duplex in Commercial 5G Networks185RLItrtncekl8610Millimeter Wave Communications for 5G Networks188Jiho Song, Miguel R Castellanos, and David J. LoweContentsⅸx10.1 Motivations and Opportunities18810.2 Millimeter Wave Radio Propagation18910. 2.1 Radio Attenuation1890. 2. 2. Free-Space Path LOSs19I10.2.3 Severe shadow19310.2 4 Millimeter Wave Channel model19310.2.5 Link Budget Analysis19410.3 Beamforming Architectures19510.3, Analog beamforming solutions19610.3.2 Hybrid Beamforming Solutions20010.3.3 Low-Resolution Receiver Architecture2010.4 Channel Acquisition Techniques20110.4.1 Subspace Sampling for Beam Alignment20210.4.2 Compressed Channel estimation Techniques20510.5 Deployment Challenges and Applications20710.5.1 EM Exposure at Millimeter Wave Frequencies20710.5.2 Heterogeneous and Small-Cell Networks208Acknowledgments209References209Interference Mitigation Techniques for Wireless Networks214Koralia N Pappi and George K, Karag annidis1 1.1 Introduction21411.2 The Interference Management Challenge in the 5G vision21411. 2. 1 The 5G Primary Goals and Their Impact on Interference2141 1.2.2 Enabling Technologies for Improving Network Efficiencyand Mitigating Interference21611.3 Improving the Cell-Edge User Experience: Coordinated Multipoint218I 1.3.1 Deployment Scenarios and Network Architecture2181 13. 2 CoMP Techniques for the Uplink22011.3.3 CoMP Techniques for the Downlink2211 1.4 Interference Alignment: Exploiting Signal Space Dimensions2231 1.4.1 The Concept of Linear Interference Alignment224L1. 4.2 The Example of the X-Channel225I 1. 4.3 The K-User Interference Channel and Cellular NetworksAsymptotic Interference Alignment22611.4.4 Cooperative Interferenee Networks22711.4.5 Insight from IA into the Capacity Limits of Wireless Networks 22711.5 Compute-and-Forward Protocol: Cooperation at the ReceiverSide for the Uplink22811.5.1 Encoding and Decoding of the CoF Protocol22811.5.2 Achievable-Rate Region and Integer Equation Selection23011.5.3 Advantages and Challenges of the CoF Protocol232IL6 Conclusion233References233

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免疫遗传算法源代码，是对遗传算法和免疫算法的改进

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