Description: 《MIMO-OFDM关键技术的研究和完整仿真平台的建立》,建立了一个完整的MIMO-OFDM的仿真平台,为实际的硬件平台提供解决方案,给出性能评估。为建立这个完整的仿真平台,本文从MIMO-OFDM信号模型,提出系统实现的各个关键技术:帧同步和载波频偏估计、信道估计、采样同步和载波跟踪、空时/频编解码。- MIMO-OFDM key technology research and the establishment of a complete simulation platform , the establishment of a complete MIMO-OFDM simulation platform, for the actual hardware platform to provide solutions, given performance evaluation. For the establishment of the integrity of the simulation platform, this article from the MIMO-OFDM signal model, the system in all key technologies: frame synchronization and carrier frequency offset estimation, channel estimation, sampling synchronization and carrier tracking, space-time/frequency codecs. Platform: |
Size: 2463744 |
Author:李继龙 |
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Description: 这是一篇基于循环延迟分集的分组预编码和空时频编码技术方面的典型文章-This is a cyclic delay diversity based on the group pre-coding and space-time-frequency coding technology, a typical article Platform: |
Size: 377856 |
Author:yufe |
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Description: 本文对MIMO技术中的信道估计、空时编码和单载波频域均衡技术(SC-FDE)及其在FPGA上的实现进行了深入的研究-In this paper, MIMO channel estimation techniques, space-time coding and single-carrier frequency domain equalization (SC-FDE) and its implementation on FPGA-depth study carried out Platform: |
Size: 1149952 |
Author:w |
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Description: 本书是“移动通信前沿技术系列”之一,全书共分18个章节,主要对协作通信及网络知识作了介绍,具体内容包括空时分集和编码、空时频分集与空时频编码、中继信道及协议、单中继协作通信、多节点协作通信等。全书内容分为三部分,第一部分回顾传统的MIMO系统,介绍空间、时间、频率分集的概念。第二部分主要考虑协作通信物理层的关键问题,并对其提出了行之有效的解决方案,比如针对协作通信的分布式特点,提出分布式空时(频)码;针对协作通信的频谱效率问题,提出了新颖和有效的协作方案。第三部分介绍协作通信对物理层之上的MAC层、网络层及应用层产生的影响,内容涉及如何协作路由,如何通过协作使网络覆盖范围增大,如何延长网络寿命等。-This book is one of the "cutting edge mobile communication technology series". The book is divided into 18 chapters, mainly on cooperative communications and network knowledge and specific content including the empty hours of collection and coding, space-time-frequency diversity and space-time frequency coding, relay channel and protocols, single-relay cooperative communication, multi-node cooperative communications. Platform: |
Size: 4773888 |
Author:郑永钊 |
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Description: Every thing about MIMO system and OFDM, including Matlab source, timing, frequency synchronization, equalization, estimation, PAPR, space time block code, channel capacity Platform: |
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Author:nonicknoname |
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Description: 这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码,系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的,涉及到空间分集、时间分集和频率分集的有机结合,包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件,对各部分的都有详细的代码和注释。-It is used SIMULINK the S-FUNCTION approach to the preparation of the system simulation code, the system is based on the 4G network s core technology space-time block coded MIMO-OFDM communication system, involving spatial diversity, time diversity and frequency diversity of the organic combination, including QPSK modulation and demodulation, IFFT modulation, control of encoding and decoding, symbol-based channel estimation training and other communication module. Including main_STBC_MIMO_OFDM and training_symbol two M file and a DOC file, have detailed the various parts of the code and comments.
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Size: 13312 |
Author:masong |
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Description: If SDMA is used on the downlink of a multi-user MIMO system,
either long-term or short-term channel state information
has to be available at the base station (BS) to faciliate the joint
precoding of the signals intended for the different users. Precoding
is used to efficiently eliminate or suppressmulti-user interference
(MUI) via beamforming or by using ”dirty-paper”
codes. It also allows us to performmost of the complex processing
at the BS which leads to a simplification of the mobile terminals.
In this paper, we provide an overview of efficient linear
and non-linear precoding techniques formulti-userMIMO
systems. The performance of these techniques is assessed via
simulations on statistical channelmodels, and on channels generated
by the IlmProp, a geometry-based channel model that
generates realistic correlations in space, time, and frequency. Platform: |
Size: 74752 |
Author:ImranKhan |
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Description: ns STBC for purely time-selective channels by transforming the
time-selective channels into frequency-selective channels, and by
adjusting existing space–time code designs over frequency-selective
MIMO channels to collect joint space–Doppler gains over purely
time-selective MIMO channels. Further, [14] uses the ideas of [12] to
develop a space–time code that can achieve full space-delay-Doppler
diversity for any number of transmit–receive antennas. However, to
quantify the maximum Doppler diversity order [2], the above papers
rely on a parsimonious critically sampled complex-exponential basis
expansion model (CCE-BEM) for the underlying purely time-selective
or doubly-selective channels [16]. However, the CCE-BEM may have
a large modeling error under certain channel conditions Platform: |
Size: 1024 |
Author:phuong |
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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.. Platform: |
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Author:robin |
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Description: Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters. Platform: |
Size: 80896 |
Author:werad |
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Description: 基于MATLAB的mimo系统正交频分多址ofdm,空时编码stbc代码,用于mimo系统仿真-Based on MATLAB mimo system orthogonal frequency-division multiple access ofdm, space-time coding stbc codes for mimo system simulation Platform: |
Size: 3072 |
Author:马金双 |
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Description: method based on Neural
Network (NN) technique and accompanied with MMSE
(Minimum Mean Square Error), which corrects at the receiver
level, the Non-Linear (NL) distortions due to the HPA (High
Power Amplifier).-In this paper, we present a method based on Neural
Network (NN) technique and accompanied with MMSE
(Minimum Mean Square Error), which corrects at the receiver
level, the Non-Linear (NL) distortions due to the HPA (High
Power Amplifier). The neural network consists on a feedforward
Multi-Layer Perceptron (MLP) associated with
Levenberg-Marquardt learning algorithm. The results show
that the neural network compensator brings perceptible in a
complete VBLAST MIMO OFDM (Vertical Bell Laboratories
Layered Space-Time Multiple-Input Multiple-Output
Orthogonal Frequency Division Multiplexing) system running
under a Rayleigh fading channel. Platform: |
Size: 330752 |
Author:wangxx |
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Description: 本篇论文研究的 FDD 模式下的 Massive MIMO OFDM 系统的信道估计方法,通过分析
MIMO OFDM 系统存在的空时共同稀疏性,应用结构化理论处理 Massive MIMO 信道。为了
减少导频的消耗,提出适合的估计方法(In this paper, the channel estimation method of Massive MIMO OFDM system in FDD mode is studied Space-time common sparsity in MIMO OFDM system is applied to deal with Massive MIMO channel.In order to Reduce the pilot frequency consumption and put forward a suitable estimation method) Platform: |
Size: 1187840 |
Author:legend27 |
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