Description: 采用Maxim公司的可编程滤波器MAX264设计的锁相跟踪滤波器，能够实现自动跟踪频率功能，使得滤波范围增加，免去调整滤波中心频率的麻烦，采用单片机编程。-The programmable filter Maxim MAX264 design phase-locked tracking filter, automatic tracking frequency, the increase in filter range, eliminating the need to adjust the filter center frequency of trouble, microcontroller programming. Platform: |
Size: 207872 |
Author:LAYAL |
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Description: 在有限的实验条件下，为验证高动态软件GPS接收机信号的捕获和跟踪模型，提出了一种基于软件GPS
接收平台的高动态GPS数字中频信号模拟方法。介绍了软件GPS接收平台的基本结构框架，并根据高动态环境
下伪随机码的多普勒效应及本地振荡器的频率误差对接收信号的影响，推导并建立了一种较精确的高动态GPS
数字中频信号模型。为使模型适用于更加复杂的环境，通过设置接收信号的噪声幅值来调整信噪比大小，以确
定所需的信号强度；在信号参数的设置过程中调整入射信号与反射信号的幅度比值及反射信号的时间延迟参
数，以模拟不同程度的多路径效应对中频信号的影响。仿真结果表明了该方法的有效性。-In order to validate the model for capturing and tracking the high dynamic signal of the software GPS
receiver on limited experiment condition, a method for modeling the high dynamic numeric IF signal was presented
based on the software GPS receiver platform. The basic frame of the software GPS receiver platform structure was
introduced, and according to the impact of the Doppler effect of the pseudo-noise code and the frequency error of the
local oscillator on the received signal in high dynamic environment, a more precise model of high dynamic GPS
numeric IF signal was deduced and established. To make the model be applicable in more complicated environment,
the required intensity of the signal was obtained by setting the noise’s magnitude of the received signal and adjusting
the Signal-to-Noise ratio. In the process of setting the signal parameters, the ratio of the incident signal’s magnitude to
the reflected one and the time delay of the reflected signal were adjust Platform: |
Size: 721920 |
Author:luchan |
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Description: 本文以GPS中频数字信号的仿真为目标,以Matlab/Simulink为平台,对真实环境
下中频信号的生成算法!接收算法进行了研究和仿真实现"论文详细论述了GPS中频
数字信号的数学模型!导航信号的误差模型,和信号仿真时应注意的关键问题,给出了
中频信号软件模拟器结构"同时,论文对中频信号的接收算法也进行了简单的研究,并
用仿真生成的数字中频信号对软件接收机的捕获和跟踪性能进行了验证"实验结果表明
该系统基本实现了GPS中频信号的产生和接收功能,接收端能正确解扩解调,能在一
定精度下得到伪码初始相位和载波频率"
-GPS IF digital signal simulation in Matlab/Simulink platform, the paper discusses in detail the mathematical model of the GPS IF digital signal received IF signal generation algorithm in a real environment! Algorithm research and simulation! Navigation error model of the signal, and the signal simulation should pay attention to the key issues, given the structure of the IF signal simulator software the same time, the paper also the IF signal reception algorithm simple, and digital IF signal generated by the simulation software The receiver acquisition and tracking performance is verified experimental results show that the system is the basic realization of the GPS IF signal generating and receiving functions, the receiving side can correctly despread demodulation, the initial phase and carrier frequency of the pseudo-code can be obtained under certain precision " Platform: |
Size: 5351424 |
Author:luchan |
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Description: 光伏并网模拟装置、最大功率跟踪、频率相位跟踪、F28027-Photovoltaic simulator, the maximum power point tracking, frequency, phase tracking, F28027 Platform: |
Size: 555008 |
Author:黄超 |
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Description: This paper presents the simulation performance of the all-digital symbol timing recovery using the Gardner Timing Error Detector over π/4-DQPSK modulation. The open loop statistics, the S-curve and the normalized timing error variance, were investigated to show the stable tracking performance of the system. The symbol timing recovery has a second order loop transfer function, which was able to track down phase, and frequency offsets. Modulation was observed to have a performance of 2 dB lower from the theoretical BER curve. Platform: |
Size: 276480 |
Author:joel vilca |
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Description: 很好的GPS/INS超紧组合导航的文章，关键词：GPS,INS，超紧组合导航，抗干扰-The performance of an Ultra-Tightly Coupled
(UTC) Global Positioning System/Inertial Navigation System
(GPS/INS) is evaluated using a system simulation of the GPS
receiver and navigation processing. The UTC system being
analyzed uses a bank of pre-filters to estimate code delay error
and Doppler frequency error for each satellite. These outputs are
sent to a central Kalman navigation filter. This central processor
generates estimates of inertial navigation position, velocity, and
attitude errors IMU biases and user clock errors, which are
used to correct the navigation solution. In the UTC approach,
outputs from the central navigation processor, after projection
into satellite line-of-sight coordinates, are used to control the
code and carrier replica signals for each satellite channel. In
contrast, a conventional tightly coupled GPS/INS system uses
separate tracking loops for each satellite channel, which operate
autonomously. As a result, the UTC desig Platform: |
Size: 461824 |
Author:lili |
Hits:
Description: The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
-The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
Platform: |
Size: 1024 |
Author:tkspandy111 |
Hits:
Description: The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
-The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
Platform: |
Size: 2048 |
Author:tkspandy111 |
Hits:
Description: The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
-The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
Platform: |
Size: 2048 |
Author:tkspandy111 |
Hits:
Description: The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
-The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
Platform: |
Size: 6144 |
Author:tkspandy111 |
Hits:
Description: The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
-The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
Platform: |
Size: 163840 |
Author:tkspandy111 |
Hits:
Description: The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
-The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
Platform: |
Size: 4096 |
Author:tkspandy111 |
Hits:
Description: 近些年，由于射频技术发展迅猛，应答器有了新的说法和含义，又被叫做智能标签或标签。RFID电子电梯合格证的阅读器（读写器）通过天线与RFID电子标签进行无线通信，可以实现对标签识别码和内存数据的读出或写入操作。典型的阅读器包含有高频模块（发送器和接收器）、控制单元以及阅读器天线。RFID射频识别是一种非接触式的自动识别技术，它通过射频信号自动识别目标对象并获取相关数据，识别工作无需人工干预，可工作于各种恶劣环境。RFID技术可识别高速运动物体并可同时识别多个标签，操作快捷方便。RFID是一种简单的无线系统，只有两个基本器件，该系统用于控制、检测和跟踪物体。系统由一个询问器（或阅读器）和很多应答器（或标签）组成。-In recent years, the rapid development of the radio frequency technology, the transponder has a new argument and meaning, also called smart tags or labels. The RFID reader elevator certificate (reader) through the antenna and the RFID tag for wireless communications, can be achieved for tag identification code and the memory data read or write operations. A typical reader includes a frequency module (transmitter and receiver), the control unit and the reader antenna. RFID radio frequency identification is a non-contact automatic identification technology that uses radio frequency signal automatic target recognition and access to relevant data, identifying work without human intervention, can work in a variety of harsh environments. RFID technology can identify fast moving objects can also identify multiple tags, the operation quickly and conveniently. RFID is a simple wireless system, only two basic components, the system for control, object detection and tracking. System consists of a Platform: |
Size: 491520 |
Author:php |
Hits:
Description: The main application of FreeIMU is orientation sensing: by reading the data from the various sensors is possible to compute precisely the orientation of FreeIMU in the space. Recent boards also feature an high resolution barometer allowing to precisely track the device altitude. This can be useful in many applications: human-computer interaction device prototyping, flying machines, robots, human movement tracking and everywhere orientation sensing is a key aspect.
As FreeIMU breakout the sensors interrupt pins, it s also possible to detect per axis single and double taps, free fall as well as activity or inactivity. This makes FreeIMU a very good choice for Human-Computer devices prototyping. Interrupts pins are also very useful if you are into interrupt based reading of the sensors, useful to develop high frequency interrupt based sensor reading. Platform: |
Size: 76800 |
Author:Tran Bao An |
Hits:
Description: The main application of FreeIMU is orientation sensing: by reading the data from the various sensors is possible to compute precisely the orientation of FreeIMU in the space. Recent boards also feature an high resolution barometer allowing to precisely track the device altitude. This can be useful in many applications: human-computer interaction device prototyping, flying machines, robots, human movement tracking and everywhere orientation sensing is a key aspect.
As FreeIMU breakout the sensors interrupt pins, it s also possible to detect per axis single and double taps, free fall as well as activity or inactivity. This makes FreeIMU a very good choice for Human-Computer devices prototyping. Interrupts pins are also very useful if you are into interrupt based reading of the sensors, useful to develop high frequency interrupt based sensor reading. Platform: |
Size: 1850368 |
Author:Tran Bao An |
Hits:
Description: The present work describes the design and manufacture of a prototype (currently in use) of an intelligent
sensor for the tracking and monitoring of blood temperature and of hemoderivatives to be used in
transfusions, over the entire process. Furthermore, this system provides information in real time of the
blood reserves organized according to their characteristics (Rh, type, date, etc.). The device is based on
RFID (Radio Frequency IDentification), this being the method that best suits the needs of these types of
health materials. Platform: |
Size: 596992 |
Author:said |
Hits:
Description: 比较完成的OFDM系统仿真接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。-Compare completed received OFDM symbols OFDM system simulation algorithms and program flow with the sender sends the end frame structure used in a relationship. Concrete frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can reference algorithm documentation. Platform: |
Size: 128000 |
Author:maomao |
Hits:
Description: 230v并网逆变完整资料源代码及编译好的固件 设计文档 实现了MPPT 电网幅值相位频率跟踪，并使得输出电流时钟与电网电压同相-230v grid inverter comprehensive source code and design documents compiled firmware implements MPPT tracking grid frequency amplitude phase and the output current in phase with the grid voltage clock
Platform: |
Size: 347136 |
Author:kongbing |
Hits:
Description: 用LabVIEW编制一个完整应用软件，完成以下功能：
1、产生一个正弦波，叠加一个噪声信号，从界面上可以调整噪声和信号的幅度、频率等参数，此信号作为后续分析的信号源；
2、显示信号的时域波形，点击按钮可以显示信号的幅度谱、功率谱
3、图形上可以显示光标，具有峰值跟踪功能，同时将峰值频率、幅度显示在界面上。
4、点击按钮可以计算显示信号的失真度（THD）、信噪比（SNR）、各次谐波的频率和幅度；-Preparation of a complete application using LabVIEW software, perform the following functions: 1, generates a sine wave, the superposition of a noise signal, the interface can be adjusted from the noise and the signal amplitude, frequency and other parameters, this signal as a follow-up analysis of the signal source 2. time-domain signal waveform display, click the button to display the signal amplitude spectrum, power spectrum 3, you can display a cursor on the graph, with a peak tracking, while the peak frequency, amplitude displayed on the screen. 4, click the button to display the calculated distortion (THD) signal to noise ratio (SNR), each harmonic frequency and amplitude Platform: |
Size: 25600 |
Author:刘威 |
Hits:
Search - frequency tracking