Description: MIMO指多输入多输出,MIMO技术大致可以分为两类:发射/接收分集和空间复用。传统的多天线被用来增加分集度从而克服信道衰落,具有相同信息的信号通过不同的路径被发送出去,在接收机端可以获得数据符号多个独立衰落的复制品,从而获得更高的接收可靠性。这种技术往往要结合多天线技术,而多天线技术在移动通信中得到了广泛的研究。-MIMO refers to Multiple Input Multiple Output, MIMO technology can be broadly classified into two categories: transmit/receive diversity and spatial multiplexing. Traditional multi-antenna was used to increase the degree of diversity to overcome channel fading, the signal with the same information through different paths have been sent in the receiver-side data symbols can be multiple independent copies of the decline, which was higher reception reliability. This technology often have to combine multi-antenna technology, and multi-antenna technology in mobile communication has been widely studied. Platform: |
Size: 1024 |
Author:曹作恺 |
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Description: MIMO指多输入多输出,MIMO技术大致可以分为两类:发射/接收分集和空间复用。传统的多天线被用来增加分集度从而克服信道衰落,具有相同信息的信号通过不同的路径被发送出去,在接收机端可以获得数据符号多个独立衰落的复制品,从而获得更高的接收可靠性。这种技术往往要结合多天线技术,而多天线技术在移动通信中得到了广泛的研究。-MIMO refers to Multiple Input Multiple Output, MIMO technology can be broadly classified into two categories: transmit/receive diversity and spatial multiplexing. Traditional multi-antenna was used to increase the degree of diversity to overcome channel fading, the signal with the same information through different paths have been sent in the receiver-side data symbols can be multiple independent copies of the decline, which was higher reception reliability. This technology often have to combine multi-antenna technology, and multi-antenna technology in mobile communication has been widely studied. Platform: |
Size: 1024 |
Author:曹作恺 |
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Description: MIMO指多输入多输出,MIMO技术大致可以分为两类:发射/接收分集和空间复用。传统的多天线被用来增加分集度从而克服信道衰落,具有相同信息的信号通过不同的路径被发送出去,在接收机端可以获得数据符号多个独立衰落的复制品,从而获得更高的接收可靠性。这种技术往往要结合多天线技术,而多天线技术在移动通信中得到了广泛的研究。-MIMO refers to Multiple Input Multiple Output, MIMO technology can be broadly classified into two categories: transmit/receive diversity and spatial multiplexing. Traditional multi-antenna was used to increase the degree of diversity to overcome channel fading, the signal with the same information through different paths have been sent in the receiver-side data symbols can be multiple independent copies of the decline, which was higher reception reliability. This technology often have to combine multi-antenna technology, and multi-antenna technology in mobile communication has been widely studied. Platform: |
Size: 1024 |
Author:曹作恺 |
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Description: Lattice Reduction Aided Detector for Spatial Multiplexing MIMO system. It is implemented by MATLAB. Platform: |
Size: 9216 |
Author:Junil Ahn |
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Description: This paper deals with the capacity behavior of wireless Orthogonal Frequency Division Multiplexing
(OFDM)-based spatial multiplexing system when considering realistic channel delay profiles.
In both the SISO and the MIMO contexts, we compare the deterministic, ergodic and outage
capacities for the channel with realistic profile to the one with simplified profile Platform: |
Size: 153600 |
Author:Safa |
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Description: 在MIMO-ofdm系统中,空时分组编码STBC对系统性能的测试,给出信噪比和误码率的关系图形。-In the MIMO-ofdm systems, space-time block coding STBC on the system performance test, given the relationship between SNR and bit error rate graphics. Platform: |
Size: 22528 |
Author:hquwgz |
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Description: ERGODIC CAPACITY OF SPATIAL MULTIPLEXING MIMO SYSTEMS WITH ZF
RECEIVERS FOR LOG-NORMAL SHADOWING AND RAYLEIGH FADING
CHANNELS Platform: |
Size: 285696 |
Author:thefar2012star |
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Description: Abstract—2×2 unitary precoding based on receiver feedback
is applied alongside spatial multiplexing at the base station in
HSDPA (D-TxAA) when the mobile terminal supports MIMO
transmissios [1]. This precoding will influence achievable sumrate
of the MIMO channel if it influences the Signal-to-
Interference-plus-Noise Ratio (SINR) of streams at the receiver
(RX) output. We propose a set of MIMO HSDPA receivers, all
based upon a LMMSE chip-level matrix filter (equalizer) front
end, and introduce the notion of joint bias for the MIMO chip
equalizer. Statistical properties of the spatial model thus obtained
are exploited to analyze the performance of proposed MIMO
receivers. It is shown that precoding choice depends upon the
MIMO receiver and the extent of its impact depends on the
MIMO RX. Platform: |
Size: 195584 |
Author:ashish |
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Description: Error Performance of Ultrawideband MIMO
Spatial Multiplexing Systems
Abstract—Multiple-input multiple-output spatial multiplexing
(MIMO-SM) ultrawideband (UWB) systems with orthogonal
frequency division multiplexing (OFDM) signaling are developed.
It is shown that the proposed linear and nonlinear receivers offer
substantial spatial diversity beside data rate enhancement. Platform: |
Size: 64512 |
Author:sasa |
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Description: 2*2空间复用信道MIMO仿真
其中包含整套通信系统的编码解码,调制解调,噪声信道,并有文件对应说明文档-2* 2 MIMO spatial multiplexing channel communication system simulation package which contains the coding and decoding, modulation and demodulation, channel noise, and the corresponding documentation file Platform: |
Size: 19456 |
Author:Brandon |
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Description: 内容包括MIMO信道测量,模型,性能分析,空时编码,基于全部或部分信道信息的空间复用和发射设计等-Including MIMO channel measurements, modeling, performance analysis, space-time coding based on channel information in whole or in part the spatial multiplexing and transmit design Platform: |
Size: 2545664 |
Author:anjie |
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Description: VC2010及IT++4.2下实现MIMO的仿真-This example demonstrates how to use the Modulator_ND (MIMO) class for soft-output demodulation. The program simulates a simple convolutionally coded spatial-multiplexing (V-BLAST style) MIMO system with maximum-likelihood, alternatively zero-forcing, demodulation and soft Viterbi decoding, but no iteration between the demodulator and the decoder. Platform: |
Size: 3072 |
Author:raven |
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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 Platform: |
Size: 407552 |
Author:nebiyu |
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Description: This an excellent material on MIMO spatial Multiplexing and Channel modeling, showing different ways to modeling MIMO channel.-This is an excellent material on MIMO spatial Multiplexing and Channel modeling, showing different ways to modeling MIMO channel. Platform: |
Size: 653312 |
Author:Lago1990 |
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Description: 2*2空间复用信道MIMO仿真
其中包含整套通信系统的编码解码,调制解调,噪声信道,并有文件对应说明文档-2* 2 MIMO spatial multiplexing channel communication system simulation package which contains the coding and decoding, modulation and demodulation, channel noise, and the corresponding documentation file Platform: |
Size: 19456 |
Author:zhao |
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