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Description: Multiple—input multiple—output(MIMO)wireless technology in combination with orthogonal
frequency division multiplexing(OFDM)is all attractive air—interface solution for next—generation wideband
wireless networks．This paper provides all overview of the basics of MIMO —OFDM technology and focuses on
space—frequency signaling，receiver design，muhiuser systems，and hardware implementation aspects．We also
give the relevant open areas for further research．
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Size: 9206784 |
Author: delia |
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Description: Okumura Hata model path loss vs frequency carrer
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Size: 275456 |
Author: BADMAN |
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Description: A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is
investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out
through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.-A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is
investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out
through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.
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Size: 729088 |
Author: loihuynh |
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Description: 多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行同步偏差调整。需要指出的是,两次同步过程均可以产生尖锐的相关峰,使得同步精度大为提高。-Accurate timing synchronization of symbol is important for MIMO-OFDM system,and it can eliminate the integral frequency shift of carrier and intersymbol interference.Two-step timing synchronization method is proposed in this thesis.First,the time-domain pilot is employed to obtain coarse timing synchronization,then the interleaved cyclic prefix and maximum likelihood estimation method are adopted to adjust the synchronization difference,through which the correlational characteristic of that window could be ...
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Size: 807936 |
Author: 王睿 |
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Description: SVM Multiregression for Non Linear
Channel Estimation in Multiple-Input
Multiple-Output Systems
在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective
channel estimation. We develop a new method for multiple variable regression estimation based on Sup-
port Vector Machines, a state-of-the-art technique within the machine learning community for regression
estimation. We show how this new method, that we call M-SVR, can be effi ciently solved. The pro-
posed regression method is evaluated in a MIMO system under a channel estimation scenario, showing
its benefi ts in comparison to previous proposals when non linearities are present in either the transmitter
or the receiver sides of the MIMO system.
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Size: 120832 |
Author: lux |
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Description: 随着传输速率越来越高,信号所占用的带宽越来越宽,实际信道呈现出频率选择性衰落特
性。根据频率选择性衰落信道特性,建立了频率选择性衰落M IMO信道模型,采用频域和时域的方
法研究了在频率选择性衰落下,发射端已知和未知信道状态信息的M IMO信道容量,并给出了相关
的仿真结果。研究结果表明:在相同发射功率和传输带宽下,M IMO系统可以不牺牲信号带宽而显
著提高信道的容量,并且天线数量和输入信噪比的大小对信道容量具有不同的影响。研究结果为如
何提高频率选择性衰落环境下M IMO信道容量提供了依据。-With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the
p ractical channel p resents the frequency selective fading character. In this paper, a multi- input multi-
output (M IMO) channelmodel under frequency selective fading is constructed according to the character of
frequency selective fading channel. The frequency and time domain methods are used to discussM IMO
channel capacity due to the known and unknown channel state information under the frequency selective fa2
ding. The simulation results show thatM IMO system can imp rove the channel capacity remarkably but no
exchanging signal bandwidth under the circumstances of the same launching power and transmitting band2
width, and the numbers of antennas and the quantity of SNR have the different effect on the channel capaci2
ty. The conclusion offers the basis of how to imp rove M IMO channel capacity under the circumstances of
frequency selective fading.
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Size: 513024 |
Author: 蜡笔 |
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Description: MIMO OFDM 技术将成为第4 代移动通信系统的关键技术, 因MIMO OFDM 对时间和频率偏移非常敏感,
因此MIMO OFDM 同步显得尤为重要。提出了一种新的MIMO OFDM 定时同步和频偏同步技术。以GCL 序列为基础设
计了一个新的符合MIMO OFDM 同步技术的导频序列, 通过对该导频序列进行2 次相关得到频率估计, 并将所得频率
运用到定时同步中, 得到更为准确的时间估计。仿真结果表明, 在相同的信噪比情况下, 该方法可以使得系统的误码
率和帧传送误码率相对传统方法得到进一步减小。-MIMO OFDM will become a key technology of the fourth generation mobile communications system. However, MIMO OFDM is
sensitive to the CFO and timing synchronization, so the MIMO OFDM synchronization technology is very important. This paper proposes an
accurate technique for timing and frequency synchronization of multiple input multiple output ( MIMO ) orthogonal frequency division
multiplexing ( OFDM) systems. The technique derives a new preamble signal based on GCL sequences, according with the MIMJO OFDM
synchronization. The carrier frequency offset ( CFO) estimation is obtained through taking double correlation operations on the preamble signal,
and used in the timing synchronization to gain accurate time estimation. The simulation results show that at the same SNR, the proposed method
can reduce the BER and the frame transmission BER of the system compared to the conventional method.
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Size: 408576 |
Author: 蜡笔 |
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Description: windows mimo ofdm some information
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Size: 909312 |
Author: mili |
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Description: 一种关于MIMO-OFDM系统盲频率同步的资料文档，用MATLAB进行仿真分析-A novel blind carrier frequency offset (CFO)
estimation algorithm was proposed which is based on estimating
signal parameter via rotational invariance techniques (ESPRIT)
for multi-input multi-output orthogonal frequency division
multiplexing (MIMO-OFDM) systems with virtual carriers.
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Size: 402432 |
Author: 李真 |
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Description: 多输入多输出正交分频多工模拟器。
正交分频多工:OFDM模拟器(外层函数)
create_channel:产生一个瑞利衰落信道复用,解的天线配置、正交分频多工结构、power-delay档案。
svd_decompose_channel:既然全网络知识是假设,在并行传输奇异值模式。这个函数分解这些频道模式。
BitLoad:适用bit-loading算法来实现预期的钻头和能量
-MIMO OFDM Simulator:
OFDM.m: OFDM Simulator (outer function)
create_channel.m: Generates a Rayleigh fading frequency-selective channel, parametrized by the antenna configuration, the OFDM configuration, and the power-delay profile.
svd_decompose_channel.m: Since full channel knowledge is assumed, transmission is across parallel singular value modes. This function decomposes the channel into these modes.
BitLoad.m: Apply the bit-loading algorithm to achieve the desired bit and energy allocation for the current channel instance.
ComputeSNR.m: Given the subcarrier gains, this simple function generates the SNR values of each channel (each singular value on each tone is a separate channel).
chow_algo.m: Apply Chow s algorithm to generate a particular bit and energy allocation.
EnergyTableInit.m: Given the SNR values, form a table of energy increments for each channel.
campello_algo.m: Apply Campello s algorithm to converge to the optimal bit and energy allocatio
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Size: 14336 |
Author: liufan |
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Description: In high-data-rate wireless systems focus on the integration of orthogonal frequency-divisionmultiplexing (OFDM), multiple-inputmultiple-output (MIMO) and closed-loop techniques
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Size: 737280 |
Author: mustaf dhia |
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Description: 多输入多输出（MIMO）系统是在无线通信智能天线技术的基础上发展起来的，其主要特点就是在通信系统的收发两端采用多天线配置，以解决未来移动通信系统大容量、高速率传输和日益紧张的频谱资源间的矛盾。-Multiple-input-multiple-output (MIMO) is a communication technology that multiple antennas are set at transmitters and/or receivers. The system capacity and frequency spectrum efficiency of communication systems can be improved by this technology without extra frequency bandwidth and with no additional power expenditure .
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Size: 8192 |
Author: 凯凯 |
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Description: 正交频分复用，最小均方误差信道估计算法。-Orthogonal frequency division multiplexing, minimum mean square error channel estimation algorithm.
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Size: 1797120 |
Author: 唐锋 |
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Description: MIMO的信道估计及误差，信道频域响应，两种估计方法，误差-MIMO channel estimation and error, channel frequency response of two estimation methods, the error
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Size: 2048 |
Author: 郑沐 |
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Description: MIMO-OFDM系统中基于SFBC空频分组码的误码率仿真曲线，接收端采取ZF,OSIC等相应的检测算法-The simulation curve error SFBC space frequency block code rate based on the MIMO-OFDM system, the receiving end to take ZF, corresponding detection algorithm OSIC
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Size: 9216 |
Author: 徐东 |
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Description: 在MIMO2*2的无线信道环境下，运用OFDM(Orthogonal Frequency Division Multiplexing)即正交频分复用技术，发送信号，经过奇异值分解预编码，调制，在接收端解调，均衡，最终等到估计信号，并计算了整个系统的误码率；-In the wireless channel environment MIMO2* 2, the use of OFDM (Orthogonal Frequency Division Multiplexing) that is an orthogonal frequency division multiplexing, transmission signal, through a singular value decomposition of the pre-encoding, modulation, demodulation at the receiver, equalization, until the final estimated signal, and calculate the error rate of the whole system
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Size: 1024 |
Author: liaoxiao |
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Description: Repeater communication is one promising candidate solution in future cellular networks because of its ability to increase throughput, data rate and coverage. It is also considered as one candidate technology feature in 3GPP/LTE-A. Traditionally repeaters have been active continuously and perform blind forwarding without knowing the signal. However the repeater in LTE Advanced is likely to include some advanced functionalities such as frequency selectivity, gain controllability, multi antenna ability, advanced antenna processing, optimum power control algorithm, etc.
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Size: 9216 |
Author: Uuganbayar |
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Description: 无线通信系统可以利用的资源包括：空间、时间、频率和功率。在B3G/4G系统中，空间资源和频率资源被重新开发使用，从而大大提高了系统的性能。
多天线技术在发送端和接收端同时使用多根天线，扩展了空间域，充分利用了空间扩展所提供的特征，从而带来了系统容量的提高。目前多天线技术已成为了B3G/4G系统的关键技术之一。
-The resources that the wireless communication system can use include: space, time, frequency and power. In the B3G/4G system, the spatial resources and the frequency resource are re- used, which greatly improve the system performance..
Characteristics of multi antenna technology in sending end and simultaneous use of multiple antennas at the receiver, to expand the spatial domain, make full use of the space extensions are provided, which brought the system capacity to improve. At present, multi antenna technology has become one of the key technologies of B3G/4G system..
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Size: 2048 |
Author: robin |
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Description: Frequency-domain channel estimation and MIMO Detection doc file
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Size: 267264 |
Author: ahmed/wadgiad |
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Description: 整个MIMO-OFDM的完整系统，包括发射端和接收端。多输入多输出的正交频分复用系统-Complete the entire MIMO-OFDM system, including transmitter and receiver. Multiple input multiple output orthogonal frequency division multiplexing system
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Size: 1254400 |
Author: 罗心 |
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