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OFDM峰均比限幅clipping抑制matlab仿真程序
限幅(clipping)，是降低OFDM系统PAPR最直接的方法。根据峰均比的统计特性可知，高峰平比出现的概率极小，削去过高的瞬时高幅值,降低整个系统的误比特率性能，改善CCDF曲线
- 2020-12-01下载
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NGSIM使用手册（1）
美国NGSIM系统的使用手册，方便读者高效的利用NGSIM进行数据下载，完成交通领域的研究Technical Report Documentation Page1. Report No2. Government Accession no3. Recipients Catalog NoFHWA-HOP-06-0124. Title and subtitle5. Report DateNext Generation Simulation(NGSIM) Data Format Planly20046. Performing Organization Code7. Author(s8. Performing Organization report noVijay Kovvali, richard margiotta, Robert franc, vassiliAlexiadis9. Performing Organization Name and Address10. Work Unit NoCAMBRIDGE SYSTEMATIC INC150 CAMBRIDGE PARK DRIVE SUITE 400011. Contract or grant noCAMBRIDGE MA 02140DTFH61-02-C-0003612. Sponsoring Agency Name and Address13. Type of Report and Period CoveredDepartment of transportationFinal reportFederal Highway AdministrationJuly 2003-july 2004Office of Acquisition Management14. Sponsoring Agency Code400 Seventh Street SW, RM 4410Washington, DC 2059015. Supplementary notesFHWA COTR: John Halkias, Office of Operations, and James Colyar, Office of Operations r&d16. AbstractThe Next Generation Simulation Program(NGSIM) Data Format Plan was developed to define thestructure, documentation, and transfer requirements for data that will be collected for estimationcalibration, and validation of core behavioral algorithms. The development of the data Format Plan isbased on existing formats that are relevant to ngsim and augmented to fill in gaps. to this end, a reviewof existing data formats was undertaken and their relevance to NGSiM was assessed. The review includeddata standards developed for intelligent transportation systems(ITS), data formats developed specificallyfor traffic simulation models, and data formats developed for broader transportation applications. Thespecified data formats were developed with the objective of promoting efficient research by maintainingonsistency between data collection and research, and providing consistent storage and transmittalprotocols. On the other hand, this plan intentionally avoids over specification of data formats, so as tominimize unnecessary limitations to research. This document specifies the conceptual data model by meansof Unified Modeling Language UMl class diagrams; the data dictionary in the data standard prescribed bP1489-1999 format developed by the Institute of Electrical and Electronics Engineers(IEEE); the dataexchange structure for data transfer from user to user or from the database/repository to users; and theNGSIM metadata17. Key words1 8. Distribution StatementNext generation simulation, NGSIM, trafficNo restrictions. This document is available to thesimulation, high-level plan, traffic data collection, public through the National Technical Informationvehicle trajectory dataService, Springfield, VA2216119. Security Classif. (of this report) 20. Security Classif. (of this page) 21. No of Pages22. PriceUnclassifiedUnclassifiedForm dot e1700.7(8-72)Reproduction of completed pages authorizedTABLE OF CONTENTSEXECUTIVE SUMMARY1.0 INTRODUCTION1.1High- Level plan context……垂垂垂垂·着垂垂垂垂非垂·非垂垂看垂音非非;·垂垂音看垂看垂1.2 Background1.3 Data Collection Types……1344581. 4 Data Conversion1.5 Data Formats·····.···············.··.···.·;···..·.··..·.···2.0 NGSIM DATA REQUIREMENTS22 Microsimulation Software Data format,…………172.1 NGSIM Data…192.3 Rcquirements for NgsiM data Collection..................193.0 RECOMMENDED NGSIM DATA FORMATS..m. 233.1 NGSIM Data model233.2 NGSIM Data Dictionary……………243.3 NGSIM Metadata.............................253.4 NGSIM Data Exchange Format273.5 File and Directory Naming Convention……293.6 Summary30REFERENCES31APPENDIX A-REVIEW OF EXISTING TRANSPORTATION DATA FORMATS3APPENDIX B-ACCURACY REQUIREMENTS FOR NGSIM DATACOLLECTION,45APPENDIX C-DATA MODEL∴….,,53APPENdIXD-DATA DICTIONARY.APPENDIX E-METADATA. ...........................................................................................99APPENdIX F-SYSTEM-STATE DATA看香音看音香n117List of FiguresFigure 1 Diagram. NGSIM task interdependencies4Figure2. Diagran. Data format classification relevant to ngsim1………Figure 3. Diagram. Top level data model of general traffic simulation55Figure4. Diagram. Influencing factors database packages………………56Figure 5. Diagram. Behavioral models packages57Figure6. Diagran. Facility type generalization…………18Figure 7. Diagram. Traffic management systems generalization......59Figure 8. Diagram. Transit management systems generalizationFigure9. Diagran. nvironment generalization.………………………0Figure 10. Diagram NTCIP Controller class diagram61Figure 11 Diagram Actuated traffic signal controller generalization2Figure12 Diagram. Generalized microsimulation data model………………63Figure 13 Diagram Data concept components and constructs(IEEE Std 1489-1999)66List of tablesTable 1. Example validation data by algorithm categoryTable 2. Summary of NGSiM categorizations for data formatsTable 3. Accuracy requirements for vehicle trajectory data. ..45Table 4. Accuracy requirements for instrumented vehicle data.........46Table 5. Accuracy requirements for wide-area detector data......... 47Table 6. Accuracy requirements for nctwork-rclated data48Table 7. Accuracy requirements for representative transportation managementsystems data52Table 8. Terminology for UMLmodeler54Table 9. Data dictionary for NgSim.67Table 10 processing documentation metadata for ngsimwwwwwm116Table1l. Requisite vehicle trajectory data…………………………117Table 12. requisite wide-area detector data requirements……118EXECUTIVE SUMMARYThe Next Generation Simulation Program(NGsim) Data Format plan was developed todefine the structure, documentation, and transfer requirements for data that will be col-lected for estimation, calibration, and validation of core behavioral algorithms. Thedevelopment of the data format plan is based on existing formats that are relevant toNGSIM and augmented to fill in gaps. To this end, a review of existing data formats wasundertaken and their relevance to ngsim was assessed. The review included data standards developed for intelligent transportation systems (ITS), data formats developed spe-cifically for traffic simulation models and data formats developed for broader transporta-tion applications. The specified data formats were developed with the objective of pro-moting efficient research by maintaining consistency between data collection andresearch, and providing consistent storage and transmittal protocols. On the other handthis plan intentionally avoids overspecification of data formats, so as to minimize unnecessary limitations to researchFour data format components were specified in this document, including: 1)data model,2)data dictionary, 3 )metadata, and 4) data exchange formatNGSIM Data Model- The conceptual data model for NGSIM data formats is pre-sented by means of Unified Modeling Language() class diagrams. Used in con-junction with the data dictionary, the data model allows for construction of a formaldatabase/repository for NGSIM validation dataNGSIM Data Dictionary This provides definition of individual data elementsrequired by NGsim. It follows the data standard prescribed by P1489-1999 formatdeveloped by the Institutc of Elcctrical and Electronics Engineers(ieee)NGSIM Data Exchange Format- The data cxchange structure dcfincs how datashould be transferred from user to user or from the database /repository to users. Thisdocument specifies the framework for developing data exchange formats by providingthe data model and the data dictionary; it also provides clear guidance on the formatstandards with which the data exchange format should conform Currently it doesnot provide specific schema for the data exchange formatsNGSIM Metadata- This includes both traditional metadata(definitions, specificationsand valid value lists for data elements and general information about the dataset andits availability); and processing metadata(what has happened to the data from data col-lection to data archival). Administrative metadata formats were adapted fromContent Standard for Digital Geospatial Metadata(FGDC-STD-001-1998), developedby the Federal Geographic Data Committee(FGDC). Recommendations for NGSiMprocessing metadata are based on the guidance provided in ASTM E2259-03, devel-oped by the American Society for Testing and Materials(ASTm)1.0 INTRODUCTIONThe objectives of the NGsim program include the followingDevelopment of a core set of open behavioral algorithms in support of traffic simulation with a primary focus on microscopic modelingCollection of extensive data that will be used for estimation calibration and validationof the core behavioral algorithms; and storing the data in a repository that can be uni-versally accessedThe High-Level Plan for DatasetsTask E3)identified different kinds of traffic data col-lection methods and technologies and recommended three kinds of data collection effortsfor ngsim, including vehicle trajectory data wide area detector data and instrumentedvehicle dataThis report Task F)presents the documentation, format structure, and transfer requirements for the ngsim data formats for these data collection efforts identified in task e3This report is organized as followsExecutive Summary -Provides an executive summary of this documentSection1.0-Provides an overview and introduction to this report, including the con-text of the data format plan within NGsIM, information on NGsim data collection anddata types, information on data conversion, general information on data formats, anda summary of available transportation data formats and their relevance for ngsimSection 2.0-Presents definitions and categorization for different data types, and pro-vides ngsim data requirementsSection 3.0-Presents data format recommendations for the NGsim program,including a data model, data elements for the data dictionary, metadata to describe thedata collection effort and data exchange formatsReferences-Presents references used in developing this data format planAppendix a-Presents a review of existing transportation data formatsAppendix B-Presents accuracy requirements for NGSiM data collectionAppendix C- Presents a UML representation of the ngsim data modelAppendix D-Presents a high-level NGSIM data dictionaryAppendix E- Presents metadata categories, dictionary, and recommended metadataformats for ngsim1.1 HIGH-LEVEL PLAN CONTEXTInterdependencies among NGSIM tasks are shown in figure 1. The High-Level Plan forDatasets(Task E. 3) presents an assessment of existing datasets of potential use for NGSIM,and makes recommendations on the focus for nGsim data collection methodologies. Thisreport on the data Format Plan task f) provides recommendations on the data exchangeformat(s) for NGSIM data collection efforts. The data formats are also influenced by theHigh-Level Verification and Validation Plan(task e 2)Task E 1-1Core algorithmAssessmentTask e,3Task e.1-2Task e2High-LevelCore AlgorithmHigh-Level Verificationlan for DatasetsPlanandⅤ alidation planTask eData format planFigure 1 Diagram. NGSIM task interdependencies.1.2 BACKGROUNDThe NGSiM field data collection effort pursues data required for developing, estimating,calibrating and validating traffic behavioral algorithms. Tactical route execution, opera-tional driving, and en-route strategic traveler behaviors were identified as the focus of theNGSIM core behavioral algorithm research in the identification and prioritization of coreAlgorithms Task D)report. The High-Level Verification and Validation Plan(task e2)provides an example of the data collection datasets for each algorithm category as shownin table 1. the table illustrates the extent over which data must be collected for each levelof algorithm. For example, for operational driving algorithms, a single stretch of roadwayon a freeway will likely be sufficient, while, for development of tactical driving algo-rithms, the data collection effort should be expanded to include the freeway section andmultiple entry and exit ramps that feed the freeway. The data formats developed in thisplan address the data, both static and dynamic, that are pertinent to the data collectionefforts necessary for developing and validating all three categories of driver behavioralalgorithms4
- 2020-12-05下载
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多重分形谱计算程序matlab
多重分形谱计算程序matlab，可用于股市分析等。有问题希望大家及时反馈给我。
- 2020-12-06下载
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最小二乘法曲线拟合的matlab实现
本文首先介绍了最小二乘原理。其次介绍了用Matlab实现曲线拟合以得到函数关系的方法和步骤。最后举例比较了采用不同方法进行拟合得到的结果。
- 2020-12-01下载
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机载下视圆周SAR三维BP成像
机载下视圆周SAR三维BP成像，对学习CSAR成像算法的同学很有帮助庞守宝,等:机载下视圆周SAR三维BP成像匚发射信号]一世P点救射回波信号时间匹配滤波补偿相位因子DBP成像相十叠加0)0图5同一高度x平面内4点的能量图成像显示图3算法的成像流程图103仿真结果60仿真的场景是在三维平面上立方体的8个顶点,场景的原始三维仿真图如图4所示。仿真中的主要的303035系统参数如表1所示。表1仿真所用的主要系统参数10载波波长0.008m带宽750 MHz脉冲重复频率飞行高度0203040506070801000m/n角速度0.4rads载机飞行半径100m阵元数目阵元间距0.008m图6同一高度x平面内4点的等高线dB图10108口424044维/363436-10-6y/m原始场景图7BP成像之后的初始结果图图4原始场景图系统仿真的结果如图5~图8所示。图5为同高度4点的能量图,从图5中可以看出,有目标的区域能量积聚非常明显,没有目标的区域能量很小,几乎可以忽略,这正是BP算法相干累积的优点。图65为同一高度4点的等高线图,从图中可以得知,点目rim标存在处的能量较为集中,有目标的区域相对没有目y/m场景恢复标的区域的dB差较大,能量差异通过右边的色彩进度条来表示。图7为截取某一门限后BP成像的结果图8场景恢复之后的成像图图,根据图中8点位置可知,BP累积之后的初始成像4结束语相对于原始场景只是出现了坐标的平移,8个点的相对位置是正确的。图8为BP成像结果转换到原坐标分析了飞机圆周飞行时对地面场景目标的三维成系之后的成像结果。比较图4和图8,可以得知,圆像结构和成像机理,机载下视三维圆周SAR区别于周SAR三维BP成像的结果和原始场景吻合,即圆周普通的直线飞行的三维SAR在于回波信号距离压缩SAR可以精确的还原目标场景的三维信息。之后出现沿航向和切航向的耦合项,使得经典的RD16庞守宝,等:机载下视圆周SAR三维BP成像电炮是算法、CS算法和距离徙动算法等受限,BP算法通过(8):1252-1265二维搜索,避免了单独处理每一维的过程,之后通过[5] Wang Y P, Tan WX, Hong W,etal. Focusing Bistatic像素单元离散化、补偿每一距离门相位因子、相干累Circular SAR Data Using Polar Format Algorithm [C]. Syn-积等步骤构建场景目标函数,完成成像处理。三维场thetic Aperture Radar, APSAR2009, 2 Asian -PacificConferences on digital Objects Identifier, 2009: 989景仿真结果表明,圆周SAR能够精确的还原场景目992.标的三维信息。此结构在地质斯探和自然灾害救援等[6]Du Lei, Wang Yanping, Honf Wen, et al. Analytic Mod-有现实意义。eling and Three Dimensional Imaging of Downward- Loo-参考文献king Sar Using Bistatic Uniform Linear Array Antenna[C]. Ist Asian and Pacific Conference on Synthetic aper-[1] Hong W, Wang Y P, Tan WX, et al. Tomographic SARture Radar Proceedings, 2007: 49-53and Circular SAR Experiments in Anechoic Chamber [c]. [7] Jens Klare, Matthias Wei, Olaf Peters, et al. ARTINOGermany: EUSAR, 2008A New High Resolution 3D Imaging Radarsystem on an Au-[2] Cantalloube H, Colin E. Airbome SAR Imaging Along a Cirtonomous Airborne Platform [C]. Greeces: IGARSScular Trajectory [c]. Germany EUSAR, 2006: 16-182006:3842-3845[3] Riot H. Cantalloube, Circular SAR Imagery for Urban Re- [8] Wei M, Ender J, Peters 0, et al. An Air-bone Radarmote Sensing [c]. Germany: EUSAR, 2008: 2-5for Three Dimensional Imaging and Observation - Technical[4] Soumekh M. Reconnaissance with Slant Circular SAR ImaRealisation and Status of ARTINO [C]. Germany: EU-ging [J]. IEEE Trans. On Imaging Proccessing,1996,5SAR, Dresden,2006:5315-5318“→·“M“+“““M(上接第11页)[5]施韶华,李孝辉,刘阳.基于直接数字频率合成的高精参考文献度频率源设计[J].电子测量与仪器学报,2008(90):[1]周殿清.基础物理实验[M].北京:科学出版社,200385-389[2]杨刚,周群.电子系统设计与实践[M].北京:电子工[6]王军证,王建斌,陈仁伟.基于DDS的超声导波信号业出版社,2004源的设计[J.电子测量技术,2010,33(2):19-2.[3]刘海成.AVR单片机原理及测控工程应用[M].北京:[7]吴加政,苏新彦.基于DDs的信号模拟器设计J.国北京航空航天大学出版社,2008外电子测量技术,2009,28(10):67-70[4]柴媛媛,唐慧强,辛红伟.基于ARM和DS技术的信[8] ST Microelectronics Corporation,smFI03 XX Datasheet[EB/号源设计[J].通信技术,2009,42(10):54-56OL].(209-12-14)[2010-03-10]ww.st.com+一中““-(上接第13页)器的输出波形。图4所示为示波器测量仿真输出波形。真分析,在编辑电路、调整元件参数时十分方便,它可以进行各种电子电路的设计与仿真,并且仿真精度高。给电路设计测试带来方便,使电子线路的设计、性能参数的仿真等繁琐的任务变得轻而易举。参考文献[1]郑步生. Muhisim2001电路设计及仿真入门与应用[M]北京:电子工业出版社,2002.[2]张新喜. Multisim10电路仿真及应用[M].北京:机械图4示波器测量仿真输出波形工业出版社,20102结束语[3]美国国家仪器有限公司. NI Multisim1l简化教学和设计中的电路仿真[Z/OL].(2010-02-01)[2010-05-在时序逻辑电路设计中应用 Multisim软件进行仿11http://www.ipcm.com.cn机载下视圆周SAR三维B成像旧WANFANG DATA文献链接作者:庞守宝,张晓玲,吴堃, Pang Shoubao, Zhang Xiaoling, Wu Kun作者单位:电子科技大学,电子工程学院,四川,成都,610054刊名:电子科技英文刊名:ELECTRONIC SCIENCE AND TECHNOLOGY年,卷(期):2010,23(12)参考文献(8条)Wei M; Ender J; Peters 0 An Air-borne Radar for Three Dimensional Imaging and Observation-TechnicalRealisation and status of artin 20062. Jens Klare; Matthias Wei: Olaf Peters ARTINO: A New High Resolution 3D Imaging Radarsystem on anAutonomous airborne plat form 20063. Du Lei; Wang Yanping; Honf Wen Analytic Modeling and Three-Dimensional Imaging of Downward-LookingSAR USing Bistatic Uniform Linear Array Antennas 20074. Wang y P; Tan W X; Hong W Focusing Bistatic Circular SAR Data Using Polar Format Algorithm 2009oumekh M Reconnaissance with Slant Circular SAR Imaging 1996(08)6. Oriot H Cantalloube Circular SAR Imagery for Urban Remote Sensing 20087. Cantalloube H; Colin E Airborne Sar Imaging Along a Circular Trajectory 20068. Hong W; Wang y P; Tan W X Tomographic Sar and Circular Sar Experiments in Anechoic Chamber 2008本文链接http://d.g.wanfangdata.comcn/periodiCaldzkj201012005.aspx
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现代信号谱分析（stoica）
英文原版中文译本《现代信号谱分析》，电子专业参考书！！！
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SHT30 温度、湿度传感器 STM32F130ZET6 HAL 库例程
SHT30 温度、湿度传感器 STM32F130ZET6 HAL 库例程 100%可以使用
- 2020-11-29下载
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Bicomb文献分析软件
书目共现分析系统来自中国医科大学医学信息学系。用于处理从书目数据库（如PubMed、SCI、CNKI、万方等）下载下来的文献记录，具体功能包括：抽取其中特定的字段，如作者、期刊名、标题、发表年代、引文等统计相应字段的出现频次按照一定的阈值截取高频条目后，形成共现矩阵和条目-来源文献矩阵（如高频词-论文矩阵）输出高频条目和矩阵所形成的矩阵可以用于进一步的聚类分析和网络分析
- 2020-05-31下载
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Matlab GUI 多界面数据传递实例(使用全局变量实例)
Matlab GUI 使用全局变量进行多界面数据传递的实例
- 2020-12-03下载
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使用Qt实现TCP中客户端和服务器的交互通信
【实例简介】使用Qt中的tcp协议，构建服务器和客户端的界面，实现交互通信，如聊天功能，此为一个简单的例子，但实现了所有的基本功能，富有参考性
- 2021-11-05 00:35:42下载
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