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Description: 用matlab开发的分布MIMO四发一收的仿真-using Matlab development of the distribution of a MIMO four resumption Simulation
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Author: 孟祥国 |
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Description: 一篇介绍OFDM系统受相位噪声和IQ不平衡影响分析不错的文章,被ICC2008录取-An OFDM system introduced by the phase noise and IQ imbalance impact analysis good articles, have been admitted ICC2008
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Description: 研究相关瑞利衰落信道上MIMO系统中组合发射机选择合并(SC)/4t-收机最大比合并(MRC)的天线分集系统性能。使用矩生成函数方法,推导相关瑞利衰落信道上采用组合SC/MRC天线分集和相干检测的M 进制相移键控(MPSK),M进制正交幅度调制(MQAM),M 进制脉冲幅度调制(MPAM)等几种M 进制数字调制方式的误符号率精确表达式。数值计算结果阐明相关性和天线阵结构对采用组合SC/MRC天线分集的几种M 进制数字调制方式的平均误符号率性能的影响。-Research related to Rayleigh fading MIMO channel transmitter system to choose the combined portfolio (SC)/4t-collection machine maximal-ratio combining (MRC) diversity antenna system performance. The use of moment generating function method, Rayleigh fading channel is derived using the relevant combination of SC/MRC antenna diversity and coherent detection of M-ary phase shift keying (MPSK), M M-ary quadrature amplitude modulation (MQAM), M-band pulse amplitude modulation (MPAM), such as several M-band digital modulation modes of expression of symbol error rate of accuracy. The numerical results clarify the relevance and structure of antenna arrays using combinations of SC/MRC antenna diversity of several M-band digital modulation of the average symbol error rate performance.
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Size: 238592 |
Author: dingyuwen |
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Description: Multiple-input multiple-output (MIMO) radar has been receiving increasing attention
in recent years from researchers, practitioners, and funding agencies. MIMO radar is
characterized by using multiple antennas to simultaneously transmit diverse (possibly
linearly independent) waveforms and by utilizing multiple antennas to receive the
reflected signals. Like MIMO communications, MIMO radar offers a new paradigm
for signal processing research. MIMO radar possesses significant potentials for
fading mitigation, resolution enhancement, and interference and jamming suppression.
Fully exploiting these potentials can result in significantly improved target
detection, parameter estimation, as well as target tracking and recognition
performance.
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Size: 7849984 |
Author: 可难 |
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Description: MIMO系统容量仿真程序分为两个。其中
文件夹1为:发射天线数为4,接收天线数逐渐增大时MIMO系统容量的仿真程序。
文件夹2为:接收天线数为4,发射天线数逐渐增大时MIMO系统容量的仿真程序。-MIMO system capacity simulation program is divided into two. One folder 1 as follows: the number of transmitting antennas is 4, gradually increasing the number of receive antenna MIMO system capacity when the simulation program. Folder 2 as follows: the number of receiving antennas 4, gradually increasing the number of transmission antennas, MIMO system capacity when the simulation program.
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Size: 3072 |
Author: aa |
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Description: 文章简要的介绍了目前较新的压缩转发技术,compress-and-forward技术在现今研究较热门,相关的人员可以看看。-This paper addresses cooperative Time Division Duplex (TDD) relaying in the multiple-antenna case with full Channel State Informatio(CSI),assuming perfect knowledge of all channels.The main focus of the
paper is on the Compress-and-Forward (CF) strategy, for which an achievable rate on the Gaussian MIMO relay
channel can be derived by applying distributed vector compression techniques.
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Size: 248832 |
Author: xiongjun |
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Description: Cooperative Communications and Networking which is produced by cambridge university in 2009. It discuss MIMO technology.
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Size: 5510144 |
Author: sarmadalani |
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Description: Ebook Mobile Broadband
Including WiMAX and LTE
ISBN: 978-0-387-68189-4 e-ISBN: 978-0-387-68192-4
DOI: 10.1007/978-0-387-68192-4
This book attempts to provide an overview of IP-OFDMA technology, commencing
with cellular and IP technology for the uninitiated, while endeavoring to pave
the way toward OFDMA theory and emerging technologies, such asWiMAX, LTE,
and beyond. The first half of the book ends with OFDM technology, and the second
half of the book is targeted at more advanced readers, providing research and
development-oriented outlook by introducing OFDMA and MIMO theory and endto-
end system architectures of IP- and OFDMA-based technologies.
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Size: 7077888 |
Author: shahzad |
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Description: ZF MMSE QPSK 16-QAM mimo 2x2 4x4 v-blast
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Author: gmedina108 |
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Description: 在多输入多输出系统中的鲁棒球形译码的实现-We present a maximum-likelihood decoding algorithm for an
arbitrary lattice code when used over an independent fading channel with
perfect channel state information at the receiver. The decoder is based on
a bounded distance search among the lattice points falling inside a sphere
centered at the receved point. By judicious choice of the decoding radius
we show that this decoder can be practically used to decode lattice codes
of dimension up to 32 in a fading environement.
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Author: 应杰 |
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Description: 文档中介绍首先介绍了多用户MIMO模型,以及LTE中的多用户MIMO方案,通过仿真分析总结出当用户数较少时,在高信噪比条件下,ZF方案的系统吞吐量性能明显优于PU2RC方案。-Document describes first introduced a model of a multi-user MIMO, and LTE multi-user MIMO scheme, by simulation analysis summed up when the number of users is small, at high SNR conditions, the system throughput performance of the ZF program superior PU2RC program.
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Size: 360448 |
Author: sofia |
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Description: 多入多出(MIMO, Multi-Input Multi-Output)
多天线技术是高速无线通信的发展趋势,随着商用设备
的出现,针对多天线技术的测试方法——MIMO OTA 受
到了广泛的关注。目前大部分人对MIMO OTA 的理解
停留在观望阶段,由于信道模型的引入,技术的复杂性
使得各种测试方案众说纷纭。本文将从信道模型开始阐
述MIMO OTA 的基本概念,分类介绍四种主要的测试
方案,通过我们对信道模型的验证结果,从电波传播的
角度证明了多探头测试方案的完备性和可行性,最后还
描述了多探头方案的一种折中——单簇法的具体实现,
同时指出现在在多探头实施过程中各部件的属性及其设
置对系统不确定度的影响,建议必须借助信道模型验证
和测试区域功率验证等方式,以确保整个系统的有效性。-A introduction for MIMO OTA wrote by ABP.
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Author: Xingfeng Wu |
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Description: MIMO是移动4G的通信技术,但是受到地形和外部建筑的影响,收到的无线信号含有多径,产生严重的码间干扰,文章中阐述了用MMSE方法对信号进行均衡,很好得恢复MIMO信号-4G MIMO mobile communication technology, but by the terrain and outside the building, the wireless signal containing the received multipath produce serious inter-symbol interference, the article describes a method of using the MMSE equalization of the signal, the recovery was very good MIMO signal
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Size: 1309696 |
Author: 周跃海 |
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Description: 本论文根据最小均方根误差准则(MMSE),提出一种非正交设计导频的方法,这种方法在MASSIVE MIMO中非常有效。-In this letter, the error variance of the Minimal
Mean-Square Error (MMSE) channel estimator is analyzed, and
its analytic formula is given. Based on the analytic formula, a
designing criterion on the pilot signals is proposed. When training
time slots can be large enough, our criterion confirms the
well-known fact that orthogonal pilot signals are optimal. But if
training time slots are not enough to support this orthogonality,
our results show that the error variance is lower-bounded away
zero, no matter what kind of pilot signals are used. In this
case, the design of pilot signals should be implemented by using
the line packing on a complex Grassmannian manifold
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Size: 124928 |
Author: wangyanyan |
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Description: Wireless communication 4 by 4 mimo linear detection by MMSE scheme
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Size: 1024 |
Author: sanziwan |
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Description: Wireless communication 4 by 4 mimo linear detection by ZF scheme
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Size: 1024 |
Author: sanziwan |
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Description: Massive MIMO and Small Cells: Improving Energy
Efficiency by Optimal Soft-Cell Coordination
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Size: 419840 |
Author: Tom Cat |
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Description: MU-MIMO is widely considered a key technology
for system capacity improvement in modern
wireless networks. In contrast to
SU-MIMO, where the spatial multiplexing gain
is confined to a single user, MU-MIMO allows
multiple users to be co-scheduled on the same
time-frequency resources to exploit this gain
among two or more UE units. This is particularly
beneficial as high-rank SU-MIMO transmission
is often limited by the number of
antennas and antenna design constraints at the
user end, whereas high-rank transmission using
MU-MIMO is more feasible due to the scattered
user distribution.
It is well known that the information theoretic
optimal MU-MIMO scheme is dirty paper
coding (DPC), which unfortunately is a nonlinear/
non-causal beamforming scheme and therefore
unrealistic in real-life applications. From a
practical deployment point of view, the most
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Size: 407552 |
Author: nebiyu |
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Description: New deployments are needed to address the
future needs of 4G networks like high data rate
support for clustered users. As a result, there is
a shift in paradigm for MIMO increasing
the number of antennas at a single cell site to
distributing multiple antennas over a cell area.
Furthermore, such distributed antennas may be
in different power levels, and also in different
antenna configurations. These add an interesting
aspect and require scalable designs as well as
interference management as part of MIMO
improvements. Geographically separated antennas
implemented as remote radio heads can be
controlled by a centrally located baseband unit
using high-speed standardized fiber interfaces.
Such low-latency fiber interfaces ensure good
synchronization across antennas and make the
transmission distributed antennas as a natural
extension of MIMO.-New deployments are needed to address the
future needs of 4G networks like high data rate
support for clustered users. As a result, there is
a shift in paradigm for MIMO increasing
the number of antennas at a single cell site to
distributing multiple antennas over a cell area.
Furthermore, such distributed antennas may be
in different power levels, and also in different
antenna configurations. These add an interesting
aspect and require scalable designs as well as
interference management as part of MIMO
improvements. Geographically separated antennas
implemented as remote radio heads can be
controlled by a centrally located baseband unit
using high-speed standardized fiber interfaces.
Such low-latency fiber interfaces ensure good
synchronization across antennas and make the
transmission distributed antennas as a natural
extension of MIMO.
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Size: 2512896 |
Author: nebiyu |
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Description: Much of the initial excitement about MIMO systems
was due to pioneering work by Winters [132], Foschini [29], and Telatar [113] predicting remarkable
capacity growth for wireless systems with multiple antennas when the channel exhibits rich scattering
and its variations can be accurately tracked. This initial promise of exceptional spectral efficiency almost
“for free” resulted in an explosion of research and commercial activity to characterize the theoretical
and practical issues associated with MIMO systems.
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Size: 275456 |
Author: nebiyu |
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