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固定天线数目时，发射信噪比为变量，MIMO容量累积分布,The number of fixed antennas, the launch signal to noise ratio for the variable, MIMO capacity cumulative distribution
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MATLAB软件对不同发射天线、不同接收天线、不同信噪比下的MIMO系统容量进行仿真，得出在不增加带宽和天线发送功率的情况下利用MIMO信道成倍地提高无线信道容量-MATLAB software for different antennas, different antenna, different SNR of the MIMO system capacity for simulation, obtained without increasing the bandwidth and the a
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MIMO Capacity versus antennas
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As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM)
technique can achieve high data rate in frequency-selective fading channels by splitting a
broadband signal into a number of narrowband signals over a number
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对不同发射天线和接收天线数目的MIMO系统的信道容量进行了仿真。-Different number of transmit and receive antennas for MIMO systems channel capacity was simulated.
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A 2x2 multiple-input multiple-output (MIMO) architecture
using dual-polarized antennas (DPAs) is considered
with orthogonal frequency division multiplexing (OFDM). The
performance of DPAs is evaluated for adaptive polarization
(AP) transmissi
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比较了不同收发天线下MIMO系统容量并且利用注水算法将MIMO信道容量达到最大-Comparison of different transmit and receive antennas for MIMO system capacity and the use of water-filling algorithm will reach the maximum capacity of the MIMO channel
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基于Matlab的MIMO通信系统仿真。MIMO：发送端和接收端同时使用多天线来抑制信道衰落，从而大幅度地提高信道容量、抗衰落性能和频谱利用率。基本要求。2*2 STBC的实现关于分集增益的分析
弹性要求与一发多收系统的比较（最大比合并）：分集增益、信噪比损失多个天线（>2）STBC实现（例如4*4）-Matlab simulation of the MIMO communication system. MIMO: sending and receiving ends simultan
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This the code for MIMO based Maximum Liklihood detector to analyse the performance of BER calculation. Multiple-Input-Multiple-Output (MIMO) systems, which use multiple antennas at the transmitter and receiver ends of a wireless communication system.
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MIMO（多输入，多输出系统）的无线通信的智能天线技术的基础上发展起来的，它的主要特征是一个通信系统的使用多个天线配置来解决移动通信系统的发送和接收端 –以此来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。和智能天线技术不同于系统在MIMO无线信道的发射天线，从任何到接收天线间的无线信道是相互独立或有很小的相关性。-Developed on the basis of smart antenna technology MIMO (multiple-input, multiple
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本文主要是以瑞利衰落信道为模型对MIMO信道容量进行计算仿真，分别在发射端不可知的信道和发射端可知的信道两种情形下，对不同天线数目的信道容量进行了仿真实现，并进行了分析比较。-This article is based on Rayleigh fading channel model for MIMO channel capacity calculation simulation, respectively, in both cases the channel channel and trans
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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-sche
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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 scatt
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n radio, multiple-input and multiple-output, or MIMO is a method for multiplying the capacity of a radio link using multiple transmit and receive antennas to exploit multipath propagation.[1] MIMO has become an essential element of wireless communic
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capacity calculation of MIMO systems for different antennas. Very Helpful code.
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