一种构造密码学性质较好的奇数维函数的方法

本文提出了一种利用多输出Bent函数构造密码学性质较好的奇数维函数的方法，这里构造出的函数有比较均匀的差分分布和Walsh谱值分布，用作分组密码体制中的非线性逻辑时，能有效地抵抗差分分析和线性分析的攻击。     

MIMO系统中的分组全分集全码率空时编码

针对未编码的多输入多输出（MIMO，Multi—Input Multi—Output）系统，提出一种复杂度适中的分组全分集全码率（GFDFR，Group—wise Full Diversity Full Rate）空时编码方案。该方案通过在发送端进行天线分组，各组独立编码，减小全分集全码率（FDFR，Full Diversity Full Rate）编码块的大小从而降低系统编解码复杂度；在频率选择性信道中，进一步对子载波分组进行独立编码，获得频率分集（或多径分集），以适中的复杂度在不降低系统分集度的情况下保证了信息的全码率传输，是一种在MIMO信道中极具实用价值的空时编码方案。     

转炉煤气柜位的多输出最小二乘支持向量机预测

针对钢铁企业转炉煤气系统中煤气柜位的预测问题,提出一种一致T型灰色关联分析确定柜位的主要影响用户,避免了冗余输入因素,降低了预测模型的复杂度.根据多个不同煤气柜同时并网运行的情况,提出多输出最小二乘支持向量机回归算法来建立柜位预测模型.该算法采用等式约束,通过最小化所有输出的单一和整体拟合误差,将其转换为求解一系列线性方程组,得到模型回归函数的权系数和偏置公式表示.现场数据仿真实验结果表明所建预测模型的有效性和实用性,为制定煤气调配方案提供了合理指导.     

Constrained ALS-based tensor blind receivers for multi-user MIMO systems

Tensor factorizations has shown to be an efficient approach for symbols and/or channel estimation in multi-input multi-output (MIMO) systems, where the factor matrices of tensor that correspond to symbols, channel, code/diversity of signals, are often estimated by using alternating least squares (ALS) algorithm. Although the performance of tensor approaches strongly depend on the initializations of the factor matrices. However, due to the absence of a priori on channels, these initializations are done randomly in traditional ALS algorithm. This generally implies a slow convergence. Further, ALS does not take into account the potential orthogonal structure in the factor matrices, which can be exploited to improve the accuracy of factor matrices recovery. To address these insures, this paper proposes constrained ALS tensor blind receivers for multi-user MIMO systems. We show that the multi-user MIMO signals can be expressed as a third-order tensor model, where the matrices of users symbols, direction-of-arrival (DOA) and delay can be viewed as three factor matrices of the tensor model. Two constrained ALS blind algorithms that take into account the potential orthogonal and Vandermonde structures in the factor matrices, are proposed to learn the tensor model, where the users symbols, DOA and delay are joint estimated as three factor matrices. Besides provide the estimations for the factor matrices, the orthogonal and Vandermonde structures also give a better uniqueness results for the use of tensor model. Interestingly, these structures are the nature properties of the factor matrices in our system. This results in an efficient blind approach that has better performance and lower complexity compare with the traditional ALS.     

色噪声下MIMO信道估计优化及容量下限分析

针对色噪声背景下MIMO块平坦衰落信道进行了估计和优化,并以信道估计的优化结果为基础,分析了估计信道的互信息量下限和系统的容量下限,提出了利用注水算法来优化发射端天线阵列的功率分配,以提高系统容量下限。仿真结果表明利用信道估计的优化结果,同时通过发送功率优化分配,可使MIMO系统容量下限有明显提高。     

应用PTS降低MIMO-OFDM信号峰均比技术研究

多输入多输出正交频分复用（MIMO—OFDM）系统已成为新一代高速通信系统研究中的热点。而系统所产生的高峰均比（PAPR）信号是限制MIMO—OFDM技术实用化的主要障碍。在对部分传输序列（PTS）技术进行研究的基础上。本文提出了一种应用PTS降低MIMO—OFDM信号峰均比（PAPR）的方案一并行PTS。仿真结果表明。该方法能有效降低MIMO—OFDM信号峰均比。     

MIMO信号检测中软信息计算的简化方法

编码的多入多出（MIMO）迭代接收技术,是一种高频谱利用率、高性能的接收技术。本文对这种迭代接收机进行了分析。为便于硬件实现,利用QAM调制的特性,对MIMO信号检测中的软信息计算提出了简化方法。仿真结果表明,简化方法对系统性能影响很小。     

基于光二分路器的多路分光比的设计

提出一种设计多路分光器分光比的新方法--分解组合法.将多路分光器视为光二分路器的各种组合,分解后,引入等效光纤长度的新概念,将分光损耗对等折算为一定长度的光纤损耗,再利用光二分路器分光比的简便设计方法,巧妙地设计出多路分光器的各路分光比.     

空时编码在卫星通信系统中的应用

无线数据传输发展迅速,人们对数据服务的要求也越来越广泛。卫星传输信道存在着多径衰落,而且频谱带宽有限,而空时编码(STC)作为对抗多径衰落的有效办法,同时能够趋近多输入多输出(MIMO)信道理论上的容量极限,日益引起人们的重视。探讨了空时编码(STC)在卫星通信系统中的应用,并进行了性能比较,表明空时编码(STC)能够带来更好的效果。     

Adaptive sliding mode control for MIMO nonlinear systems based on fuzzy logic scheme

In this study an indirect adaptive sliding mode control (SMC) based on a fuzzy logic scheme is proposed to strengthen the tracking control performance of a general class of multi-input multi-output (MIMO) nonlinear uncertain systems. Combining reaching law approach and fuzzy universal approximation theorem, the proposed design procedure combines the advantages of fuzzy logic control, adaptive control and sliding mode control. The stability of the control systems is proved in the sense of the Lyapunov second stability theorem. Two simulation studies are presented to demonstrate the effectiveness of our new hybrid control algorithm.