MIMO technique is presented in this situation.
MIMO技术就是在这种情况下被提出。
Recently, MIMO-OFDM technology has become a research hotspot.
目前，MIMO - OFDM技术已成为国内外研究热点。
This section applies only when a UE is configured in MIMO mode.
本节只在UE配置了MIMO模式的时候才应用。
The thesis studies the capacity of MIMO systems for single user.
针对单用户MIMO系统信道的容量特性展开研究。
First of all, the channel capacity of the MIMO system is discussed.
首先，分析了多输入多输出系统的信道容量。
At last, we focus the research on MIMO-OFDM via carrier interferometry.
最后，我们对基于载波干涉的MIMO - OFDM系统作了研究和分析。
Spatial multiplexing and space diversity gain of a system can be extracted through MIMO technique.
多输入多输出(MIMO)技术可以为系统提供空间复用增益和空间分集增益。
This paper focuses on the multiuser detection in CDMA system, which includes SISO and MIMO systems.
这篇论文的研究的是CDMA系统中的多用户接收的问题，包括单天线系统和多天线系统。
This is a valuable on the MIMO channel estimation and signal detection receiving end of the article.
这是一篇比较有价值的关于MIMO信道估计与接收端信号检测的文章。
It analyzes three linear transmit techniques in the MIMO channel based on the zero forcing principle.
本文基于迫零准则，分析了三种在MIMO系统中的线性传输技术。
Capacity of the MIMO-OFDM systems using both space diversity and polarization diversity was analyzed.
结合空间分集和极化分集，对MIMO - OFDM系统中的容量进行研究。
Antenna selection keeping many advantages of MIMO system is an efficient way to reduce cost and complexity.
天线选择是一种低成本、低复杂度的有效方法，可以利用多天线系统的多数优点。
This paper deals with the joint optimization of linear precoders and decoders for multiuser MIMO downlinks.
文章研究多用户MIMO下行链路中线性预编码器和译码器的联合优化问题。
A direct generalized predictive control algorithm of MIMO systems based on multivariable grey model is presented.
基于多变量灰色系统模型，提出了一种MIMO系统的广义预测控制直接算法。
MIMO can linearly increase the volume of the system, breaks through the traditional Shannon Limit of SISO channel.
MIMO可以线性地提高系统的信道容量，突破了单输入单输出信道的仙农容量极限。
The decoupling problem for a class of nonlinear MIMO time-delay systems is studied with differential geometric method.
利用微分几何方法研究了一类非线性多输入多输出时滞系统的解耦问题。
In such a future mobile communication system, how to achieve the channel capacity of MIMO becomes a very important question.
在这样的未来移动通信系统中，如何逼近MIMO信道容量是系统设计考虑的至关重要的问题。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
Modified MIMO channel estimation algorithm based on superimposed training sequence was proposed for the frequency selective channel.
针对提高无线信道的传输性能，提出了改进的基于叠加训练序列的MIMO信道估计算法。
In the second chapter, it analyses the wireless channel, and expounds the MIMO channel characteristic, and then models the MIMO channel.
第二章在分析了移动无线信道特点的基础上，阐述了MIMO信道的特征并建立了数学模型。
Distributed MIMO that employs multiple antennas keeps the advantages of the distributed antenna system and the point-to-point MIMO system.
采用多天线的分布式MIMO系统保持了分布式天线系统和点对点MIMO系统的优点。
It not only can cancel the effect of measurable disturbances but also can be applied to MIMO systems to realize adaptive decoupling control.
它不仅能消除可测干扰的影响，而且可以应用到多变量系统实现自适应解耦控制。
Study shows the simplified implementation scheme is applicable in hardware implementation of MIMO-OFDM system timing synchronization algorithm.
研究表明，简化实现方案可以用于MIMO - OFDM系统定时同步算法的硬件实现。
With partial channel state information at the transmitter, a novel transmitter based on the optimal weight matrix is proposed in MIMO-STBC system.
在发射机获得部分下行信道信息的情况下，提出了一种基于最佳权矩阵的MIMO -STBC发射机。
However OFDM and MIMO OFDM systems are very sensitive to time and frequency synchronization errors, especially the frequency synchronization error.
但OFDM系统和MIMO OFDM系统对时间和频率同步误差很敏感，特别是频率同步误差。
In addition, according to the MIMO system, the scheduling algorithms combined with the power distribution mechanism are also analyzed and compared.
此外，还针对MIMO系统，对于结合了功率分配技术的调度算法性能进行了分析和比较。
Then by using multi-dimension Laplace transform, the computation formula of nonlinear transfer function matrices for MIMO bilinear system are deduced.
然后，利用多维拉普拉斯变换，推导出双线性系统非线性传递函数矩阵的计算公式。
First of all, on introducing the concepts of the MIMO technology and researching actuality, the thesis describes the structure of the MIMO demo system.
首先，本文简要介绍了MIMO技术研究的现状和MIMO系统的概念，并且给出了MIMO实验验证系统的构架。
A new transmission scheme, which combines transmit preprocessing with multiuser MIMO downlink system over frequency-selective fading channel is proposed.
提出了一种适用于频率选择性衰落信道，新的下行多用户MIMO系统预处理传输方案。
A new transmission scheme, which combines transmit preprocessing with multiuser MIMO downlink system over frequency-selective fading channel is proposed.
提出了一种适用于频率选择性衰落信道，新的下行多用户MIMO系统预处理传输方案。
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