排序方式: 共有177条查询结果,搜索用时 15 毫秒
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智能反射面(Intelligent Reflecting Surface, IRS),也被称为可重构智能表面(Reconfigurable Intelligent Surface, RIS)或大型智能表面(Large Intelligent Surface, LIS),通过重新配置无线通信传输环境,可以有效提高通信质量。考虑IRS辅助的毫米波多输入多输出(Multiple-Input Multiple-Output, MIMO)下行系统,通过采用流形优化(Manifold Optimization, MO)技术处理,协同优化IRS的无源波束成形、功率分配、预编码矩阵以及合并矩阵,以最大化多用户和速率。由于利用流形优化算法设计的最佳目标函数是非凸的,因此利用毫米波级联信道的内在结构,将非凸问题转换为更加容易处理的问题。仿真结果表明,所采用的MO方案能获得比最小均方误差(Minimum Mean Square Error, MMSE)方案以及随机相位方案更好的和速率性能。 相似文献
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The future generation of wireless communications systems uses the generalized frequency division multiplexing (GFDM) due to its viable candidate waveform to perform multiple user scheduling. It is a non-orthogonal waveform susceptible to intercarrier and intersymbol interference (ISI); still, it offers flexible pulse shaping that enhances the efficiency of user scheduling. Here, to accomplish spatial diversity, the multiple-input multiple-output (MIMO) is incorporated with GFDM to enhance the performance; there is also an extra inter-antenna interference problem that limits the model's performance. The issue concerning inter-antenna interference can be resolved by adopting pilot-based information transfer. The detection of a signal at the receiver based on the minimum mean square error has the issue of computational complexity while enhancing the estimation quality of a detector. Hence, a low-complexity channel estimation technique is proposed in this research using the V-degree polynomial-based channel estimation technique, wherein the cubic order computation is reduced to square order. Also, the proposed adaptive pulse shaping technique, wherein the filter coefficient is optimized using the gazelle optimization algorithm (GOA) to provide optimal pulse shaping filter parameters by employing bit error rate (BER) as the objective function. The performance of a proposed V-degree polynomial-based channel estimation is analyzed based on various assessment measures like BER and MSE and acquired the minimal values of 5.75E-05 and 2.07E-05, respectively. 相似文献
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MIMO-OFDM channel estimation method utilizing correlation in time domain for B3G-TDD uplink 总被引:3,自引:0,他引:3
ZHOU Ming-yu LI Li-hua JIANG Jun ZHONG Ming-hua TAO Xiao-feng Wireless Technologies Innovation Institute Beijing University of Posts Telecommunications Beijing China 《中国邮电高校学报(英文版)》2007,14(2):23-27
This article proposes a simple pilot-aided channel estimation method based on correlation in time domain for multiple-input and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Pilot symbols in all transmit antennas are generated from different circular shifting of a certain sequence. Through once correlation, the receiver can obtain time-domain pulse responses for channel fading from all transmit antennas to a certain receive antenna, from which channel estimation in frequency domain can be obtained. Beyond 3G time-division duplex (B3G-TDD) uplink is introduced, and the channel estimation method is used in it. Theoretical analysis and simulation are both carried out. Mean square error (MSE) performance shows that the method can exhibit precise estimation. Complexity analysis proves it requires very low complexity. System simulation result shows that it guarantees the performance of B3G-TDD uplink very well. 相似文献
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在采用空分复用技术的多用户多输入多输出下行链路中,有限的空域信道资源限制了系统容量.针对这一问题,提出了一种新的基于自适应空分复用的分组多用户分集方案.针对空分复用算法的特点,该方案首先以信道响应矩阵主右奇异向量的互相关大小为度量,将全部用户分为互相关最小的若干组;然后采用一种新的自适应空分复用算法,求出每一组用户传输时所能获得的系统容量,并将信道分配给容量最大的那一组用户.仿真结果表明,所提出的方案不仅能保证信道资源调度的公平性,而且通过引入多用户分集和自适应空域信道分配,显著地提升了系统容量. 相似文献
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讨论了原V-LAST(垂直Bell实验室分层空间-时间)系统的算法,从获得接收分集的角度给出了一种新的迭代处理算法。该算法利用接收端进行分集接收处理来改善V-BLAST系统每层的接收信号,对进一步抵抗V-BLAST系统的误差传播效应取得很好的效果。该算法可以看做是V-BLAST系统许多算法的一种延伸。仿真结果显示,与原V-BLAST算法相比具有更好的误码性能:在开环2发2收的情况下,信道为瑞利平坦慢衰落,采用QPSK(正交相移键控)调制,误码率为10-2时可获得2 dB的增益。 相似文献
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多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达通常基于目标和环境的先验知识设计波形,而由估计得到的先验知识不可避免存在误差,基于此先验知识得到的优化波形的检测和参数估计等性能下降严重.针对此问题,提出两种稳健波形设计方法,分别提高MIMO雷达的检测性能和参数估计性能.在目标位置误差和信道误差有界的条件下,分别构造以信噪比(Signal Noise Ratio,SNR)和克拉美-罗界(Cramera-Rao Bound,CRB)为代价函数的优化问题.为最大化SNR和最小化CRB,分别给出迭代算法,交替以发射波形相关矩阵和通道矩阵误差为优化变量求解,将迭代的每一步转化为凸优化问题,从而在最差情况下提高MIMO雷达系统的检测性能和参数估计性能.仿真实验结果验证了所提方法能有效改进MIMO雷达的检测和参数估计性能. 相似文献
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