信道矩阵

用于行对角占优信道矩阵的MIMO盲均衡算法

Blind MIMO Equalization Algorithm for Row Diagonally Predominant Channel Matrix

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。

This algorithm diagonalizes the MIMO channel matrix based on the statistics of the source signals by using the elementary matrix transformation in mathematics .

广义MIMO通用信道矩阵建模

Modeling of the Generalized MIMO Channel Matrix

在发射分集技术方面，研究表明采用空时分集编码的MIMO系统的性能与信道矩阵的特性密切相关。

Research shows that the performance of transmit diversity depends strongly on MIMO channel matrix characteristics .

首先假设信道矩阵是独立的复高斯变量，按照这种理想环境推导出MIMO信道容量；

Firstly , the capacity of MIMO channel was calculated under ideal condition , which the channel matrix is independent , complex Gaussian variables ;

有限反馈SDMA系统中信道矩阵的逐列量化算法

Per column quantization of channel matrix for SDMA systems with limited feedback

本文提出了采用一种降低复杂度的均衡方案，通过预处理将信道矩阵简化，然后采用MMSE准则进行均衡。

This paper proposes a scheme of equalization with low-complexity , which simplifies the channel matrix with linear pre-processing and iterative MMSE estimation to estimate symbols .

LR算法将等效信道矩阵转换为一个良态矩阵，在转换域内LR能够提供一个很好的发射信号估计。

LR can transform the system model into an equivalent one with better condition . LR algorithm provides a good initial estimation of the transmitted signals .

该算法利用格点减少技术对MIMO通信系统的信道矩阵进行正交处理，解决了传统THP算法在信道正交性不理想情况下性能较差的问题。

It orthogonalizes the channel matrix of MIMO communication system by applying lattice reduced technique and the performance of traditional THP algorithm with bad channel orthogonality is improved as a result .

推导了传统单天线联合检测（JD）系统传输矩阵到传统多输入多输出（MIMO）系统传输矩阵的演化；提出了广义MIMO通用信道矩阵模型。

The evolving process of channel matrix from traditional joint detection ( JD ) systems to traditional multi-in-multi-out ( MIMO ) systems was presented and a novel generalized MIMO channel matrix model was proposed .

实现预编码有两种思路，一种是接收端把传统的用户信号检测，应用到发射端；另一种是通过分解信道矩阵，把MIMO信道分解成独立平行的子信道。

There are two train of thought to realize the precoding . One is to apply the traditional user signal detection at the transmitter ; the other is to decompose the MIMO channel to several independent parallel sub-channels by decomposing the channel matrix .

将天线选择应用于空时分组编码和分层空时相结合的组分层空时系统，提出了基于重构信道矩阵QR分解的天线子集选择算法。

Antenna selection ( AS ) technique is applied to group layered space-time ( GLST ) system , and a novel AS algorithm based on the restructure of the channel response matrix and QR decomposition is proposed .

本文讨论了在信道矩阵是独立的复高斯变量，按照这种理想环境推导出MIMO信道容量，最后通过对几种信道进行分析得出MIMO系统可以大大提高系统的信道容量。

This paper discussed the capacity of MIMO channel being calculated under ideal condition , which the channel matrix is independent , complex Gaussian variables ; it is educed that MIMO system can improve the channel capacity greatly by the analysis for a few capacity of channels .

新解码器基于ZF思想设计，在接收端构造一变换矩阵，作用该矩阵于时变信道矩阵，使之对角化而达到消除ISI影响的目的。

The new decoder was designed on the basis of ZF idea . At the receiver , a transformed matrix was constructed and the time variable channel matrix was multiplied . It was a diagonal matrix to remove ISI completely .

通过对接收信号过采样，等效的信道矩阵有特殊的结构可以提供足够的信道信息给我们来估计信道矩阵。

Due to over-sampling , the equivalent channel matrix possesses a particular structure which making estimating the channel possible .

进一步研究表明只有当编码码率和信道矩阵的秩都为1时，才没有信道容量的损失。

If is also shown that there is no capacity loss only if both the code rate and the channel matrix rank are all one .

当采用信道矩阵扩展技术或重叠相加技术，并采用最小均方误差均衡时，该系统有着良好的抗多径性能和较低的计算复杂度。

This system characterized with good anti-multipath performance and low complexities when the channel matrix extending technique or overlap-adding technique and Minimum Mean Square Error equalization are employed .

当用户端配置多根天线时，本文针对用户信道矩阵秩异质的场景，提出了有限反馈下的多用户自适应多流传输方案。

For a scenario of which users ' rank order of channel matrix is different , we propose an adaptive multi-user multi-stream transmit scheme based on limited feedback .

这种方法依赖于矩阵分解的方法，在接收端分解信道矩阵，然后把其中的一个酉矩阵反馈回发射端，发射端把数据矢量右乘该矩阵，得到发射信息。

This method relies on the decomposition of the matrix . The channel matrix is decomposed at the receiver , and then a unitary matrix is feedback to the transmitter .

为了达到这个目的，给定多入多出系统的信道矩阵需要转化成一个正交的矩阵，以减小或消除信号检测过程中常规迫零算法对噪声的放大作用。

The channel matrix of the MIMO systems needs to be changed into an orthogonal matrix , so the noise enhancement by using ZF ( Zero-Forcing ) algorithm can be reduced .

利用正交空时分组码的特性，估计出信道矩阵，并将该信道矩阵用于最大似然接收机，从而得到发送信号的估计。

The properties of orthogonal space time block codes are exploited to estimate the channel matrix , which is subsequently used in the maximum likelihood ( ML ) receiver to decode the symbols .

根据信噪比和信道矩阵的关系发现此时接收端信噪比也最大，从而改善了系统的性能。

According to the relationship between SNR and channel matrix , we find that the SNR of the receiver is the highest now , that is , the performance of the system is improved .

同时根据串音信道矩阵的对角占优和列对角占优特性，重点研究了对角分裂迭代算法和上三角分裂迭代算法。

In addition , we focuses on the iterative algorithms based on diagonal matrix splitting and up tridiagonal matrix splitting , because the channel matrix property of diagonal dominant and column wise diagonal dominant respectively .

MDCFA结合功率控制和用户可用信道数矩阵，得到信道分配时可供依据的优先级矩阵PN×K。

By combining power control and available channel number matrix , priority matrix PN × K of LTE users is found .

在不求出DOA的情况下，采用离散傅里叶变换来估计该路径下行信道协方差矩阵。

DFT is used to estimate the covariance matrix of downlink channel of the path , not calculating DOA .

得到信道响应矩阵后，用迫零均衡或MMSE均衡就可以恢复出发送信号。

As long as the channel response matrix being obtained , zero forcing or MMSE equalization is used to restore the transmitted signal .

对于下行信道协方差矩阵的估计，本文提出了一种与反馈方法和基于DOA估计方法不同的频域变换法。

For downlink channel covariance matrix estimation , this paper proposes a novel method named frequency domain transformation , which is different from probing-feedback approach and DOA estimating method .

FDD-CDMA系统下行信道协方差矩阵的估计

Estimation of covariance matrix of downlink channel in FDD-CDMA systems

推导了空间相关瑞利衰落环境下该系统的误符号率SEP的闭式结果，该结果表明系统的性能主要由MIMO信道协方差矩阵的特征值及其重数决定。

The closed form solution for symbol error probability ( SEP ) of the system over Rayleigh correlated fading channel is derived , which shows that performance of the system is mainly determined by the eigenvalues and their multiplicities of the MIMO covariance matrix .

首先，本方法通过Givens旋转后，编码矩阵和信道等价矩阵同时具备了完全正交性，译码时消除了传统QOSTBC中存在的不同符号间的干扰，实现了线性译码，降低了解码时的复杂度。

Firstly , the method we proposed after the Givens rotation , the equivalent channel matrix and the encoding matrix are both orthogonal matrix . The proposed method can eliminate interference between the different symbols , implement linear decoding and reduce the complexity of decoding .