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。
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。
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。
This algorithm diagonalizes the MIMO channel matrix based on the statistics of the source signals by using the elementary matrix transformation in mathematics.
该算法基于通信源信号的统计特性，利用数学上通过矩阵初等变换实现矩阵对角化的原理对MIMO信道矩阵实现了对角化。
The simulation result indicate that the proposed distributed MIMO channel model effectually reduce the impact of low fading correlation on the channel capacity.
仿真实验结果表明，提出的分布式MIMO信道模型能够有效降低小尺度衰落相关性和阴影衰落相关性的影响。
Secondly, analyzing some current classical MIMO channel models with basic modeling methods, and offers the validation procedures of simulation of MIMO channel models;
其次，基于MIMO信道建模方法分析目前较典型的MIMO信道模型，提出MIMO信道模型准确性仿真验证方法；
Due to the complex, unknown, and continuous valued MIMO channel coefficients, the work of receiver recovering the transmitted data as correct as possible becomes a challenge work.
由于复杂、未知且连续的多输入多输出信道系数值，使得接收器尽可能准确地恢复发射数据成为一项挑战性的工作。
This paper presents a whole simulation model for MIMO channel by introducing the concept of space Angle into channel simulation model, and the correlative algorithm is also presented.
通过将空间角度的概念引入到信道的仿真模型中，给出了一个完整的MIMO信道的仿真模型，并给出了相关的仿真算法。
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。
The simulation results show that the correlated coefficient decreases, and the channel capacity of MIMO system after antenna selection slightly decreases, when the receiving Angle increases.
仿真结果表明，当到达角增大时，相关系数随之减小，从而使接收天线选择后MIMO信道容量有一些降低。
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。
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。
This dissertation is concerned with channel estimation in both OFDM and MIMO-OFDM wireless communication systems and adaptive modulation in MIMO-OFDM systems.
本文研究了OFDM和MIMO-OFDM无线通信系统的信道估计技术以及MIMO-OFDM系统的自适应调制技术。
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。
The performance of channel estimator determines the performance of the MIMO systems because of the interference between various antennas and the inter-symbol interference (ISI).
MIMO系统中，由于各天线间干扰以及码间干扰等问题的存在，信道估计性能成为影响系统性能的决定性因素。
Simulation results show that MIMO wireless system using polarization diversity is of excellent fading characteristic, and channel capacity is increased effectively.
研究表明，采用极化分集技术的MIMO系统具有良好的非相关衰落特性，信道容量得到显著提高。
OFDM has the ability of transforming the frequency-selective channel into a collection of parallel flat-fading subchannels and therefore can be adopted in MIMO systems to combat multi-path effects.
OFDM技术可以把频率选择性衰落的信道转化成一组正交的平坦衰落的信道，因此可将OF DM技术应用在MIMO系统中来克服多径衰落的影响。
The problem of channel estimation and tracking for MIMO time-varying frequency-selective channels is investigated based on training sequences.
本文主要研究了基于训练序列的多输入多输出（MIMO）时变频率选择性衰落信道的估计与跟踪问题。
The rate-distortion theory is induced to the system model, and the mathematic formula between the feedback channel rate and the closed-loop MIMO capacity are deduced.
该文提出了在闭环MIMO容量研究中引入了率失真理论的研究方法，推导出了反馈信道速率和闭环MIMO容量之间的数学关系。
The MIMO-OFDM channel estimation method is researched based on the system design, and a space-frequency domain optimal pilot-tones design algorithm is presented.
从系统设计角度研究了MIMO-OFDM系统的信道估计方法，提出一种基于空频域的最优导频设计算法。
In this paper, the impact of channel estimation error on the performance of multiuser Multiple-Input Multiple-Output (MIMO) transmission based on limited feedback information is analyzed.
该文针对存在信道估计误差的有限反馈多用户多输入多输出(MIMO)传输性能进行分析。
MIMO systems can increase the channel capacity and enhance the transmission reliability by employing multiple antennas at the transmitter and receiver.
MIMO技术通过采用多个发射天线和接收天线可以显著提高无线通信系统的信道容量，增强数据传输的可靠性。
The main contents of the paper are some channel estimation and equalization methods in MIMO-OFDM system.
本文研究的主要内容是MIMO-OFDM系统的信道估计和均衡技术。
A combined channel estimation method of time-frequency-selective fading channels in MIMO-OFDM systems was proposed.
提出了一种适用于时间频率选择性衰落信道的MIMO - OFDM系统的组合信道估计方法。
A combined channel estimation method of time-frequency-selective fading channels in MIMO-OFDM systems was proposed.
提出了一种适用于时间频率选择性衰落信道的MIMO - OFDM系统的组合信道估计方法。
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