MIMO technique is presented in this situation.
MIMO技术就是在这种情况下被提出。
The detection problem for MIMO system needs further research.
MIMO系统检测问题还有待研究。
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。
A wideband correlated MIMO wireless channel model is introduced.
介绍了宽带相关MIMO信道模型。
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。
Single cell multiple user MIMO system is interference-limited by cochannel.
单小区多用户MIMO多接入系统性能受限于同信道干扰。
Therefore, how to get the MIMO channel information correctly becomes a crucial problem.
因此，如何获得准确的MIMO信道状态信息就成为一个关键问题。
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。
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。
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。
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。
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。
Therefore, the combination of MIMO and OFDM is an attractive and competitive solution for future broadband wireless systems.
因此，OFDM和MIMO技术的结合已经成为未来宽带无线通信领域最有吸引力的候选方案。
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。
The MIMO systems offer a new dimension of freedom, which makes higher data rate transmission and higher reliability possible.
MIMO技术的提出为通信系统引入了又一维可利用空间，使得提高数据传输率和传输的可靠性成为可能。
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。
Multiple Input Multiple Output (MIMO) technique can enhance the capacity and improve the performance of the wireless communication system.
多入多出(MIMO)无线通信技术大大增加了无线通信系统的容量，改善了无线通信系统的性能。
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。
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。
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