MIMO-OFDM系统中一种低开销有限反馈新方法

以LTE-Advanced为背景,针对多输入多输出-正交频分复用(MIMO-OFDM)系统中的关键技术--基于码本的有限反馈预编码进行了研究,提出了一种基于递归算法的有限反馈新方法。利用各子载波间的频域相关性,以前一个子载波所选码字为基础,通过内积运算排序的方法来确定当前子载波的码字集合,然后对与该新码字集合相对应的码字索引进行可变长编码,以用于系统反馈。仿真结果表明：在递归反馈算法的基础上利用可变长编码能有效降低LTE-Advanced系统的反馈开销。     

链路服务质量限制下多输入多输出媒体接入控制的建模与分析

针对SCMA协议没有同时考虑链路服务质量(QoS)和多输入多输出(MIMO)流的信道接入调度策略的不足,提出一种SCMA/QA协议。协议充分考虑了每个链路中不同流的信道状态,建立了一个基于流的信道状态离散马尔可夫链模型,并融合考虑了每条链路的QoS需求,采用修改的RTS/CTS进行链路QoS的信息交换,通过链路QoS权重作为链路选择的主要因素,将MIMO下基于QoS的链路调度问题建模为一个最优化问题,并在卡罗需-库恩-塔克(KKT)条件下得到最优链路以及通信的流数目。最后,以吞吐量为QoS指标进行了数值分析,结果表明在相同网络环境下,SCMA/QA比SCMA和QCSCMA能更好地提高系统的吞吐量。     

Energy and the state of nations

The mathematical conditions for the existence of macroeconomic production functions that are state functions of the economic system are pointed out. The output elasticities and the elasticities of substitution of energy-dependent Cobb-Douglas, CES and LinEx production functions are calculated. The output elasticities, which measure the productive powers of production factors and whose numerical values have been obtained for Germany, Japan, and the USA, are for energy much larger and for labor much smaller than the cost shares of these factors. Energy and its conversion into physical work accounts for most of the growth that mainstream economics attributes to “technological progress” and related concepts. It decisively determines the economic state of nations. Consequences for automation and globalization and perspectives on growth are discussed.     

独立风光互补供电系统能量配比性能分析

对全年不同方位角和倾角的太阳能辐射量进行数值模拟,得知方位角南偏西30°倾角35°的倾斜面接收的太阳能辐射量最大。对光伏组件和风力发电机的功率输出影响因素进行了仿真,利用仿真结果计算全年的风光出力,由计算最佳倾斜面的太阳能辐射量和当地实际气象参数数据对风光互补匹配特性进行统计分析,得知风能与太阳能最佳配比为1:0.85,为以后风光互补供电系统的设计提供参考依据。     

Adaptive output-feedback control with prescribed performance for trajectory tracking of underactuated surface vessels

In this paper, we address the problem of trajectory tracking control of underactuated surface vessels in a quantitative method with only position and attitude available. Combined with high-gain observer, parameter compression algorithm and performance function, an adaptive control scheme with prescribed performance is proposed. The high-gain observer is constructed to estimate the velocities, and the parameter compression algorithm is adopted to address persistent perturbations and model uncertainties in a more concise way. By prescribed performance function, the controller can be designed with prescribed performance. The results about system stability is given and proved by using the Lyapunov direct method. The signals concerning with all the errors converge to a bounded set. Compared with the existing methods, the developed scheme can reduce the number of tuning parameters, and guarantee the tracking errors bounded within the prescribed performance constraints in the transformed coordinate, which means the steady errors, convergence rates and maximum overshoots can be guaranteed by the performance function. Comparison and numerical simulations are given to demonstrate the effectiveness of the proposed scheme.     

基于CMOE准则的盲自适应RLS检测器

针对直接递归最小二乘（RLS）算法存在的检测数值不稳定和收敛速度较慢等问题,将约束最小输出能量（CMOE）准则与直接RLS算法结合,提出一种基于CMOE准则的盲自适应RLS多用户检测算法。将该算法与直接RLS算法进行动、静态环境下输出信干比（SIR）、剩余输出能量（EOE）和误码率（BER）等方面的仿真,对比得出该算法具有更好的动态跟踪能力,更快的收敛速度和更高的稳定性。     

乘性三值噪声作用下微分电路中的随机共振现象研究

基于线性系统理论,利用三值噪声的统计性质,推导出了系统输出幅度增益的解析表达式。研究表明,随着输入信号频率、三值噪声的定态概率、噪声状态间的跃迁速率、参数k(电容C的倒数)的增大,输出幅度增益出现一个最大值。当信号频率较低时,输出幅度增益随着k的增大而单调下降;当信号频率较高时,输出幅度增益随着k的增大而单调增大。当信号频率较低时,输出幅度增益随着定态概率的增大而单调增大;当信号频率较高时,输出幅度增益随着定态概率的增大而单调下降。随着G0(电阻的倒数)的增大,输出幅度增益单调减小。     

分布式MIMO-OFDM信号多频偏多信道联合盲估计

针对多径衰落信道下分布式多输入多输出正交频分复用(MIMO-OFDM)系统中频偏信道联合盲估计难的问题,提出了一种有效的多频偏多信道联合盲估计方法。该算法利用盲解卷积分离算法接收信号的同时得到有频偏影响的多个信道,对分离后的多个信号进行逐个频偏估计,补偿整体信道并去除信道模糊度,得到有效的信道估计值。仿真结果表明,与基于导频的频偏信道估计方法相比,所提算法可在5 dB获得1e-6的频偏估计精度,在15 dB左右获得1e-2的信道估计精度,实现了分布式MIMO-OFDM信号的多频偏多信道联合盲估计。     

提高15000m~3/h空分设备气体产量的实践

介绍15000 m3/h空分设备的实际运行状况,分析提高空分设备氧气和氮气产量的可行性,详细阐述提高氧气和氮气产量的分析、摸索过程以及最终的实施方案和具体运行参数。     

基于FSM的协议一致性测试序列生成算法研究

在通信协议的一致性测试领域里,如何生成满足要求的测试序列一直是研究热点之一。针对生成的测试序列不够简捷高效的问题,在介绍了通信协议的主要形式化模型FSM后,先研究了基于UIO的测试序列生成算法,然后对原算法进行了改进。改进后的算法所生成的测试序列具有较高的错误覆盖率,并且能够缩短测试序列的长度。