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This simulation script set allows for an OFDM transmission to be
simulated. Imagetx.m generates the OFDM signal, saving it as a
windows WAV file. This allows the OFDM signal to be played out a sound
card and recorded back. Imagerx.m decodes the WAV to extract the
data.
settings.m contains all the common settings to specify all the
simulation parameters such as FFT size, number of carriers,
input data source file, input and output WAV files, etc.
標(biāo)簽：
transmission
simulation
generates
simulated
上傳時間：
2013-12-15
上傳用戶：dyctj
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This program includes:
[5 7] convolutional code (encoder) + BPSK + AWGN + MAP (decoder). It evaluates Bit Error Rate and plots it versus SNR(signal to Noise Ratio).
標(biāo)簽：
convolutional
includes
program
encoder
上傳時間：
2015-12-24
上傳用戶：bruce5996
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We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers.
標(biāo)簽：
frequency-offset
estimation
quadrature
amplitude
上傳時間：
2014-01-22
上傳用戶：牛布牛
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The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa.
For example,
>> project.name = MyProject
>> project.id = 1234
>> project.param.a = 3.1415
>> project.param.b = 42
becomes with str=xml_format(project, off )
"<project>
<name>MyProject</name>
<id>1234</id>
<param>
<a>3.1415</a>
<b>42</b>
</param>
</project>"
On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).
標(biāo)簽：
converts
Toolbox
complex
logical
上傳時間：
2016-02-12
上傳用戶：a673761058
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In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
標(biāo)簽：
mean-square
multiuser
receiver
project
上傳時間：
2014-11-21
上傳用戶：ywqaxiwang
-
This simulation script set allows for an OFDM transmission to be
simulated. Imagetx.m generates the OFDM signal, saving it as a
windows WAV file. This allows the OFDM signal to be played out a sound
card and recorded back. Imagerx.m decodes the WAV to extract the
data.
標(biāo)簽：
transmission
simulation
generates
simulated
上傳時間：
2013-12-24
上傳用戶：希醬大魔王
-
The investigation of the propagation channel is becoming more and more important in mod-
ern wireless communication. The demand for spectral efficiency motivates exploitation of
all channels that can possibly be used for communications. Nowadays, a common trend for
designing physical layer algorithms is to adapt the transceiving strategy, either by maximizing
the diversity gains or by utilizing the coherence of the channels to improve the signal-to-noise
power ratio.
標(biāo)簽：
Characterization
Propagation
Channel
上傳時間：
2020-05-31
上傳用戶：shancjb
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A wireless communication network can be viewed as a collection of nodes, located in some domain, which
can in turn be transmitters or receivers (depending on the network considered, nodes may be mobile users,
base stations in a cellular network, access points of a WiFi mesh etc.). At a given time, several nodes
transmit simultaneously, each toward its own receiver. Each transmitter–receiver pair requires its own
wireless link. The signal received from the link transmitter may be jammed by the signals received from
the other transmitters. Even in the simplest model where the signal power radiated from a point decays in
an isotropic way with Euclidean distance, the geometry of the locations of the nodes plays a key role since
it determines the signal to interference and noise ratio (SINR) at each receiver and hence the possibility of
establishing simultaneously this collection of links at a given bit rate. The interference seen by a receiver is
the sum of the signal powers received from all transmitters, except its own transmitter.
標(biāo)簽：
Stochastic
Geometry
Networks
Wireless
Volume
and
II
上傳時間：
2020-06-01
上傳用戶：shancjb
-
An acronym for Multiple-In, Multiple-Out, MIMO communication sends the same data as several signals
simultaneously through multiple antennas, while still utilizing a single radio channel. This is a form of
antenna diversity, which uses multiple antennas to improve signal quality and strength of an RF link. The
data is split into multiple data streams at the transmission point and recombined on the receive side by
another MIMO radio configured with the same number of antennas. The receiver is designed to take
into account the slight time difference between receptions of each signal, any additional noise or
interference, and even lost signals.
標(biāo)簽：
Understanding_the_Basics_of_MIMO
上傳時間：
2020-06-01
上傳用戶：shancjb
-
為了提高超高頻RFID系統(tǒng)中閱讀器在低信噪比的情況下仍具有較高的識別能力,提出一種基于FPGA系統(tǒng)結(jié)合軟件無線電方法實現(xiàn)超高頻RFID射頻前端電路方案。超高頻射頻識別系統(tǒng)必須符合EPC Class 1generation 2標(biāo)準(zhǔn),所設(shè)計的電路系統(tǒng)以Xilinx公司的XC6SLX16-2CSG324FPGA芯片為硬件基礎(chǔ),將數(shù)字基帶調(diào)制解調(diào)和中頻濾波電路在FPGA系統(tǒng)中設(shè)計實現(xiàn),重點闡述了射頻前端電路的設(shè)計結(jié)構(gòu)、AD/DA轉(zhuǎn)換電路,以及數(shù)字濾波器的設(shè)計。實驗結(jié)果表明,所設(shè)計的超高頻RFID閱讀器簡化了前端電路系統(tǒng)結(jié)構(gòu),提升了穩(wěn)定性,增強了抗干擾能力。該電路系統(tǒng)在信噪比較低的情況下,能夠較好地實現(xiàn)915MHz頻率的射頻接收和發(fā)送。In order to improve the reader UHF RFID system still has a higher ability to identify,in the case of low signal-to-noise ratio.The UHF RFID systems must comply with EPC Class 1 generation 2 standard.In this paper,the design of the circuit system based on Xilinx＇s XC6SLX16-2CSG324 FPGA chip,and presents UHF RFID RF front-end circuit with software radio based on FPGA system.Digital baseband modem and IF filter circuit is designed and implemented in the FPGA system,and focused on designing the structure of the RF front-end circuit,AD/DA conversion circuits,and digital filter.Experimental results show that the UHF RFID reader de...
標(biāo)簽：
915mhz
超高頻
rfid
閱讀
射頻
前端
電路
設(shè)計
上傳時間：
2022-04-17
上傳用戶：shjgzh
