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汽车仿真之电池模型-适合新手入门.zip
【实例简介】进行整车仿真时电池的电压和SOC是十分重要的考虑因素，虽然电池的simulink建模比较简单，大多数都是基于查表的算法，但是电池BMS中能够准确的计算SOC却是一个难点，因此从建模开始慢慢的学习很有必要。
结合网址学习https://blog.csdn.net/qq_33125039/article/details/89299584
- 2021-11-24 00:46:35下载
- 积分：1
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GNSS-SDR_manual.pdf (v0.0.9)
GNSS-SDR is an open-source GNSS software receiver freely available to the research community. This project provides a common framework for GNSS signal processing which can operate in a variety of computer platforms. This tool is intended to foster collaboration, increase awareness, and reduce develoContentsMain Page1.1 Contents1.2 Overview1.3 Building GNSS- SDR2351.3.1 Debug and release builds1.3.2 Updating GNSS-SDR1.4 Using GNSS-SDR51.5 Control plane1.5.1 Configuration61.5.2 GNSS block factory1.6 Signal Processing plane1.6.1 Signal Source1.6.2 Signal Conditioner1.6.3 Channel1.6.3.1 Acquisition1.6.3.2 Tracking101.6.3.3 Decoding of the navigation message11.6.4 Observables121.6.5 Computation of Position, velocity and Time121.7 About the software license1.8 Publications and Credits131.9 Ok. now what?14CONTENTS2 Reference Documents152.1 Interface Control Documents152.1.1GPs2.1.2 GLONASS152.1.3Gai152.1.4 beiD2.1.5 Satellite Based Augmentation Systems(SBAS)2.2 Other Standards2.2.1R|NEX172.2.2 NMEA22.3KML.2.2.4 C++ Standards182.2.5 Positioning protocols in wireless communication networks183 Signal model193. 1 GNSS signal model1.1 Global Positioning System(GPS)signal in space3.1.2 GLONASS signal in space3.1.3 Galileo signal in space223.1.4 Reference254 Todo list5 Hierarchical Index5.1 Class Hierarchy6 Class Index336.1 Class list7 File Index7.1 File list43CONTENTS8 Class docu8. 1 AcquisitionInterface Class Reference538.1.1 Detailed Description8.2 ArraySignal Conditioner Class Reference8.2.1 Detailed Dtio558.2.2 Constructor& Destructor Documentation8.2.2. 1 Array SignalConditioner(Configurrface configuration, std: shared_ptr data type_adapt, std: shared_ptr< GNSSBlockInterfaceil, std: shared ptr< GNSSBlockInterface > res, std: string role, std: stringimplementation)558. 2.2.2 Array SignalConditioner(558.2.3 Member Function Documentation8.2.3. 1 implementation(558.3 beamformer Class Reference568.3. 1 Detailed Description8. 4 Beamformer Filter Class Reference568.4.1 Detailed description578.4.2 Member Function Documentation8. 4.2.1 implementation()8.5 byte x2 to complex byte Class Reference8.5.1 Detailed Description588.6 Byte ToShort Class Reference588.6. 1 Detailed description8.6.2 Member Function Documentation8.6.2. 1 implementation(598.7 Channel Class Reference598.7.1 Detailed description608.7.2 Constructor Destructor Documentation8.7. 2.1 Channel(ConfigurationInterface *configuration, unsigned int channel, std+shared_ptr< GNSSBlockInterface> pass through, std: shared_ptr acq, std: shared_ptr nav, std string role, std stringimplementation, boost: shared ptr< gr: msg_queue queuegenerated by DoxygenCONTENTS8.7.2.2 Channelo8.7.3 Member Function Documentation8.7.3. 1 implementation(618.7.3.2 set signal(const Gnss Signal &gnss signal8.7.3. 3 start_ acquisition(68.8 channel msg receiver cc Class Reference8.8.1 Detailed Description628.8.2 Constructor Destructor Documentation628.8.2. 1 channel_msg_ receiver_ cco8.9 ChannelFsm class Reference8.9.1 Detailed Description638.10 ChannelInterface Class Reference638.10.1 Detailed Description8.11 cl_ fft_ plan Struct Reference648.11.1 Detailed Description648.12 clFFT Complex Struct Reference648. 12. 1 Detailed Description8. 13 ClFFT Dim 3 Struct Reference8. 13.1 Detailed description658.14 ClFFT_ SplitComplex Struct Reference658. 14.1 Detailed Description658. 15 complex byte to float x2 Class Reference8. 15.1 Detailed description8. 16 complex_ float_to _ complex_ byte Class Reference668.16.1 Detailed Description668. 17 concurrent map< Data> Class Template Reference8.17.1 Detailed description8.18 concurrent_ queue< Data > Class Template Reference8.18.1 Detailed description688.19 ConfigurationInterface Class ReferenceCONTENTS8.19. 1 Detailed Description8.20 ControlMessage Class Reterence698. 20. 1 Detailed Description8.21 ControlMessage Struct Reference698.21. 1 Detailed Description8.22 ControlMessageFactory Class Reference708.22. 1 Detailed Description8. 22.2 Constructor Destructor Documentation8. 22.2. 1 ControlMessage Factory8. 22.2.2 ControlMessage(8.23 Control Thread class Reference8. 23. 1 Detailed Description718.23.2 Constructor Destructor Documentation8.23. 2.1 ControlThreado8. 23.2.2 Control Thread(std: shared_ptr< ContigurationIntertace> configuration)8.23. 2.3 Control Thread(728.23. 3 Member Function Documentation8.23.3. 1 flowgraph7282332run()728.23.3.3 set_control_ queue(boost: shared _ptr< gr: msg_queue control queue)8. 24 cpu multicorrelator Class Reference8.24. 1 Detailed Description8.25 cpu multicorrelator 1 6sc Class Reference8.25. 1 Detailed Description748.26 cshort to float x2 Class Reference748. 26. 1 Detailed Description8.27 cuda multicorrelator Class Reference8.27.1 Detailed Description758.28 direct resampler conditioner cb class Reference758.28. 1 Detailed Descriptiongenerated by DoxygenCONTENTS8.29 direct resampler conditioner cc Class Reference8.29. 1 Detailed description768.30 direct resampler conditioner cs Class Reference8.30. 1 Detailed description8.31 DirectResampler Conditioner Class Reference8.31. 1 Detailed Description788.31.2 Member Function Documentation788.31.2.1 implementation788.32 Fast Correction Struct Reference8. 32 1 Detailed Description8.33 File Configuration Class Reference8.33. 1 Detailed Description798.33.2 Constructor destructor documentation8.33.2. 1 File Configuration(8. 34 File SignalSource Class Reference808.34.1 Detailed Description808.34.2 Member Function Documentation8.34.2.1 implementation(8.35 Fir Filter Class Reference8.35. 1 Detailed Description818.35.2 Constructor Destructor Documentation8.35.2. 1 Fir Filter( ConfigurationInterface *configuration, std: string role, unsigned intreams, unsigned int out_streams)8.35. 2.2 FirFiltero8.35. 3 Member Function Documentation8.35.3. 1 implementation(828.36 FlexibandsignalSource Class Reference828.36. 1 Detailed descripti838.36.2 Member Function Documentatio8.36.2.1 implementation(8. 37 FreqXlating FirFilter Class ReferenceCONTENTSX8.37.1 Detailed Description8.37.2 Member Function Documentation848.37. 2.1 implementation(848.38 FrontEndCal Class Reference848. 38. 1 Detailed description8.38.2 Member function documentation8.38. 2.1 estimate_doppler_ from_ _eph(unsigned int PRN, double toW, double lat, doublelon, double height)8.3822 get ephemeris(),.,.,,.,,,,,,,858.38.2.3 GPS L1 front end model E4000(double f bb true Hz, double f bb_measHz, double fs nominal_ hz, double *estimated_fs_ hz, double *estimated_f if Hz, 85double *tosc_err_ppm)8.38.2.4 set_configuration(std shared_ptr< ConfigurationInterface configuration)858. 39 Galileo Almanac class Reference858.39. 1 Detailed description8. 39.2 Constructor destructor documentation8.39.2.1 Galileo_ Almanac8.40 galileo e1 dl pll veml tracking cc Class Reference8.40. 1 Detailed Descriptio88ember Function Documentation8.40.2.1 general work(int output_ items, gr_ vector_int &ninput_ items. gr vector_constvoid_star &input_items, gr_ vector_ void_ star &output_ _items)8. 41 galileo_e1_ Is_pvt Class Referenc8.41. 1 Detailed Descriptio8. 41.2 Member data documentation8. 41.2.1 d channels898.41. 2.2 galileo_ ephemeris_ map898.42 galileo e1 observables cc Class Reference8.42. 1 Detailed Description8. 43 galileo_e1_pvt_cc Class Reference8.43. 1 Detailed description8. 43.2 Constructor Destructor documentatiCONTENTS8. 43.2.1 galileo_e1_pvt_cc918. 43.3 Member Function documentation8. 3.1 general_work(int output_items, gr vector_int &ninput_items. gr_ vector_constevoid star &input items, gr vector void star &output items)918. 44 Galileo_E1_ Tcp Connector_ Tracking_cc Class Reference8.44.1 Detailed Description8. 45 galileo e1b telemetry decoder cc Class Reference928.45. 1 Detailed description938. 45.2 Member Function Documentation8.45.2. 1 forecast(int noutput_items, gr_ vector_ int &input_items_required8.45. 2.2 general_ work(int output_items, gr- vector_ int &ninput_items. gr_ vector_const+void star &input_items, gr_ vector_ void_ star &output_ items938. 45.2.3 set_channel(int channel8.45.2. 4 set_ decimation(int decimation)8. 45. 2.5 set_ satellite(Gnss_ Satellite satellite)8.46 Galileo E5a Dl Pll Tracking cc Class Reterence8.46. 1 Detailed description48. 47 galileo e5a noncoherentlQ acquisition caf cc class Reference8.47.1 Detailed Description958. 47.2 Constructor Destructor Documentation8.47. 2.1 galileo e5a noncoherentlQ acquisition caf cco8. 47.3 Member Function Documentation968.47. 3.1 general_ work(int output_items, gr_ vector_int &ninput_ items. gr vector_const+void_star &input_items, gr_vector_ void_star &output_items)8.47.32init()968.47.3.3mag(0..968.47.3.4 set active(bool active968.47.3.5 set channel(unsigned int channel)968.47.3.6 set_ doppler_ max(unsigned int doppler_ max)8.47.3.7 set_ doppler_ step(unsigned int doppler step8.47.3.8 set_gnss synchro(Gnss Synchro *p_gnss_ synchro8.47.3.9 set_local_code(std: complex< float >*code, std: complex< float > *code Q)97
- 2020-12-01下载
- 积分：1
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光纤通信中数字信号处理
论文，高速光纤通信与数字信号处理。相干光接收，频偏估计，相位估计，算法。Y175785独创性(或创新性)声明本人声明所呈交的论文是本人在导师指导下进行的研究工作及取得的研究成果。尽我所知,除了文中特别加以标注和致谢中所罗列的内容以外,论文中不包含其他人已经发表或撰写过的研究成果,也不包含为获得北京邮电大学或其他教育机构的学位或证书而使用过的材料。与我一同工作的同志对本研究所做的任何贡献均已在论文中作了明确的说明并表示了谢意。申请学位论文与套料若有不实之处,本人承担一切相关责任。本人签名:-/b日期:200列2关于论文使用授权的说明学位论文作者完全了解北京邮电大学有关保留和使用学位论文的规定,即:研究生在校攻读学位期间论文工作的知认产权单位属北京邮电大学学校有权保留并向国家有关部门或机构送交论文的复印件和磁盘,允许学位论文被查阅和借阅:学校可以公布学位论文的全部或部分内容,可以允许采用影印、缩印或其它复制手段保存、汇编学位论文。本人签名:日期:20°3.2导师签名:日期:100Gb/ s PM-QPSK相干光接收机载波频偏估计和相位恢复算法的研究摘要通信网络中高速率业务的不断发展,对现有的城域网络及省际、国际骨干通信网络的传输带宽提出了更高、更迫切的要求。从目前主流的1040Gbp光传输技术向100Gbs演进成为光传输技术的发展趋势。近年来大量研究表明,相位调制及相干接收是最具前景的100Gbs光传输方式。其中,采用相干接收技术的偏振复用QPSK( PM-QPSK传输系统最被业界认可。该系统的符号速率比比特率降低4倍,因此有较高的光谱利用率,且收发机结构相对简单实现相对容易。此外,信道中的各种损伤,如色散、载波频偏、相位偏移等导致的信号损伤,都能在接收机中通过电域的数字信号处理(DSP)来灵活地补偿。对调相信号,载波与本振间的频率和相位偏移会使信号产生较大的相位失真,频偏估计和相位恢复成为相干接收机中两个重要的功能模块。本文在国家863计划课题“1000b/s相干光传输关键技术研究(2009AA01Z221)”资助下,对上述系统接收机载波频偏和相位恢复算法展开了深入研究,主要内容如下:1.研究了 PM-QPSK的系统组成结构,重点研究了接收机DSP各组成模块的功能,并设计实现了相干接收机后端Maab仿真平台。2.详细分析了载波频偏估计算法,设计了算法并行处理实施方案以解决现有硬件处理速率不足够高的问题,并仿真验证了方案的可行性。设计了四次方频偏估计算法的并行结构;提出了基于误码性能反馈的 BA-PADE( BER-Aided pre-decision- based Angle DifferentialEstimator)算法,解决了传统PADE要求初始频偏设置与真实频偏接近的问题;提出了基于PADE的并行处理算法一一分组PADE( Grouped-PADE)。所设计方案均通过系统仿真验证了可行性。3.详细分析了载波相位恢复算法,为采用现有FPGA或DSP实现l00Gb/级信号处理,设计了载波相位恢复并行处理方案并仿真验证了方案的可行性。设计了基于Ⅴ iterbj- Viterbi的优化算法及其并行处理结构,将其同频偏估计并行算法联合进行了二进制定点仿真分析,仿真结果表明并行处理方案可显著降低硬件处理速率要求。关键词光传输相干接收频偏相位恢复THE RESEARCH OF FREQUENCY OFFSET ESTIMATIONAND PHASE RECOVERY ALGORITHMFOR 100Gbs OPTICAL COHERENT PM-QPSK RECEIVERABStRcTThe rapid development of high bit-rate services in communicationnetworks has instantly demanded a much higher bandwidth of coretransmission links in WAN, inter-province and international networks.The upgrade from the existing 10G/40G optical transmission to 100G hasbeen a trend. The research in recent years indicates that systems withphase modulation and coherent detection are the most promising, ofwhich PM-QPsk gets most recognitionThe PM-QPsK lowers the symbol rate as 1/4 of bit rate whichprovide high spectrum efficiency, and the transceiver structure ofPM-QPSK is simpler and so is easier to realize. Besides, with digitalalgorithms, the electrical Digital Signal Processing(DSP)in thee receivercan flexibly compensate the channel distortion caused by dispersion,carrier frequency offset and phase distortion. Since the phase distortioncaused by frequency and phase offset between lo and carrier is one ofthe main distortions in PM-QPSK, frequency offset compensation andphase recovery act as two of the core modules.With the support of National 863 Project"Research of the KeyTechnologies of 100Gb/s Optical Coherent Transmission Systems?", thisthesis mainly focuses on the research of the digital algorithms of carrierfrequency offset compensation and carrier phase recovery in the receiverof PM-QPSK system and the main contents are as follows1. Investigation of PM-QPSK structure, mainly on the receiver DSPstructure, including function of the several modules in this partDesigning and implementation of the Matlab simulation platform for theback-end of PM-QpsK receiver.2. Analysis on the carrier frequency offset estimation algorithmsdesigning of the parallel structure of the algorithms in order to break therestriction of hardware speed, with feasibility testified by simulationDesigning of the parallel structure of the 4 power method Designing ofBA-PADE (BER-Aided Pre-decision-based Angle Differential Estimator)based on BER feed-back to break the exact initialization restriction oftraditional PADE. Designing of a parallel operation scheme based onPADE, namely Grouped-PADE. Feasibility of both the forementionedscheme testified by simulation.3. Analysis on the carrier phase recovery algorithms, designing ofthe parallel operation scheme in order to realize phase recovery in100Gb/s PM-QPSK with current FPGA or DSP, with feasibility testifiedby simulation. Designing of the optimized and the parallel structure ofViterbi- Viterbi (V-V)method, and binary fixed-point simulation ofparallel v-v together with frequency offset algorithm, the result provedthat the scheme could observably lower the request to the hardwareoperation speedKEYWORDS optical transmission coherent detectionfrequency offset phase recovery
- 2020-12-05下载
- 积分：1
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200个Multisim仿真实例
200个Multisim仿真实例，内含有200个Multisim仿真实例。
- 2020-12-06下载
- 积分：1
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数字功率表的设计,cs5463,数字功率计,电表的设计,计费电表
数字功率表的设计,cs5463,数字功率计,电表的设计,计费电表
- 2020-12-01下载
- 积分：1
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labview 实现变声功能
labview编写的可以实现变声功能，并能将其保存下来的程序。用2016版本写的
- 2020-11-27下载
- 积分：1
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MHT算法及其在多传感器跟踪方面的问题
多假设跟踪算法（MHT）是一种在数据关联发生冲突时，形成多种假设以延迟做决定的逻辑。本文介绍了多假设算法的步骤及其不同环境下的应用.
- 2020-12-09下载
- 积分：1
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MLX90614红外测温 STM32完整工程文件
STM32F103C8T6加TM1637数码管显示MLX90614红外测温
- 2020-06-19下载
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乐优商城前端
乐优商城门户网站，门户系统面向的是用户，安全性很重要，而且搜索引擎对于单页应用并不友好。因此门户系统不再采用与后台系统类似的SPA（单页应用）。依然是前后端分离，不过前端的页面会使用独立的html，在每个页面中使用vue来做页面渲染。
- 2020-12-04下载
- 积分：1
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SAR成像算法MATLAB仿真.rar
【实例简介】关于SAR成像算法仿真的MATLAB源程序，包含RD算法、CS算法、wk算法等~可作为入门及之后的开发之用~具有重要的参考意义~
- 2021-11-28 00:36:56下载
- 积分：1
