Extraction of Signal Frequency in Laser Ranging of Space Target Based on FPGA

Aiming at the problems in a linear frequency modulation continuous wave(LFMCW) ranging lidar system, such as low signal-to-noise in echo beat frequency and difficult extraction of the signal frequency, a method with high-speed and high accuracy based on field programmable gate array(FPGA) is proposed. Firstly, the laser echo beat signal is sampled by high-speed analog to digital converter(ADC) and then processed in FPGA for data preprocessing. After the signal is processed by the 8 192-point FPGA will obtain the frequency spectrum and then apply the frequency spectrum to data processing and adaptive noise signal peak detection. These two steps realize the real-time and accurate extraction process of the target echo beat signal frequency. Finally, the spectrum data is transmitted to the host computer and processed through the external data acquisition board for real-time spectrum display. Experimental results show that data preprocessing and spectrum data processing can effectively suppress DC bias and system modulation noise. Adaptive noise peak detection can accurately divide the threshold contour according to the dynamic noise of the system and realize the detection of target signal peak. When the sampling clock of the system is 100 MHz, the time needed for each calculation of the spectrum is 81.92 μs, and the refresh rate of the spectrum reaches 12.2 kHz, which meets the real-time requirements of the system.     

图书馆在创建学习型社会中的重要作用

创建学习型社会是时代发展的必然趋势,图书馆在创建学习型社会中具有诸多有利条件并发挥着重要作用。在创建学习型社会的过程中,图书馆应不断完善自己,更好地服务于社会。     

具有混合执行器故障的多智能体分布式有限时间自适应协同容错控制

针对多智能体编队系统执行器发生故障时,所引起的参数不确定以及系统瞬态不稳定问题,本文采用径向基函数神经网络(radial basis function neural networks, RBFNNs)对不确定参数(未知函数)进行估计。同时,基于反推技术设计出合理的自适应容错控制器,并通过有限时间理论保证系统实现瞬态稳定。首先,本文采用10个智能体作为被控对象,基于有向通讯拓扑结构理论,构建了非线性多智能体系统模型。其次,基于RBFNNs逼近特性,采用反推技术与动态面技术相结合,设计出合理的容错控制器,补偿多智能体中出现的未知非线性执行器故障,并采用有限时间理论解决系统瞬态不稳定问题。接着,基于Lyapunov稳定性理论分析了控制器的稳定性和快速收敛性。最后,通过两种算例对比,验证了所设计的控制器性能优于传统的反推技术,为工程实践提供了一种有效的研究思路。     

脉冲间隔对喷射液滴大小的分析研究

实现对微液滴大小的精确操控具有重要意义,而喷射脉冲间隔对液滴体积有重要影响.首先,通过水平集方法建立微液滴喷射过程的数学模型.其次,使用多物理场仿真软件COMSOL Multiphysics对微液滴喷射过程进行数值模拟.分析微液滴喷射过程,并拟合数据得到液滴最终体积与脉冲间隔关系为正相关.该结果有利于实现对液滴体积的精...     

筏板和独立柱基的沉降协调问题探索

对于有裙房的高层建筑,考虑到裙房和主楼之间楼层及荷载差异比较大的问题,采用不同的基础型式,为满足使用功能的要求主楼和裙房连为一个整体.文章在介绍筏板基础和独立柱基设计的同时主要讨论其引起的沉降变形协调问题的解决方法,为同类工程的设计提供参考.     

Micro-expression recognition algorithm based on the combination of spatial and temporal domains

Aiming at the problem of unsatisfactory effects of traditional micro-expression recognition algorithms,an efficient micro-expression recognition algorithm is proposed,which uses convolutional neural networks(CNN) to extract spatial features of micro-expressions,and long short-term memory network(LSTM) to extract time domain features.CNN and LSTM are combined as the basis of micro-expression recognition.In many CNN structures,the visual geometry group(VGG) using a small convolution kernel is finally selected as the pre-network through comparison.Due to the difficulty of deep learning training and over-fitting,the dropout method and batch normalization method are used to solve the problem in the VGG network.Two data sets CASME and CASME II are used for test comparison,in order to solve the problem of insufficient data sets,randomly determine the starting frame,and a fixedlength frame sequence is used as the standard,and repeatedly read all sample frames of the entire data set to achieve trayersal and data amplification.Finallv.a hieh recognition rate of 67.48% is achieved.     

La-Mg-Ni基合金储氢性能的研究

采用高频感应熔炼制备La0.7Ca0.3Ni2.8-xMgx(x=0.1、0.2、0.3、0.4)合金,进行X射线衍射(XRD)实验,气相储氢性能测试和电化学性能测试,分析Mg部分替代Ni对合金的储氢和电化学性能的影响。分析结果表明,合金具有多相结构,当x=0.1、0.3时,合金的主相是CaCu5-型结构的LaNi5相,当x=0.2、0.4时,合金的主相是AB2-型Laves相LaNi2相。随x=0.1、0.2、0.3、0.4合金电极的放电容量(mAh/g)依次为244.7、140.8、257.6、164。当x=0.1时,在2MPa氢压、25℃时,合金La0.7Ca0.3Ni2.7Mg0.1的储氢量达到1.1wt%。     

乌骨藤化学成分和生物活性研究进展

综述了近年来乌骨藤化学成分和生物活性研究方面的进展,主要包括化学成分、生物活性、临床应用概述,并对它的研究和应用前景作了展望。     

支持向量机中核参数选择的Max-Min方法

通过核函数技巧,定义了高维空间中两样本点之间的距离.引入异类距离平方阵,提出了一种新的选择SVM核参数准则,并给出算法,即max-min方法.该方法利用不同类的训练样本之间的距离,而不通过SVM标准样本训练寻求最优的(或有效的)核参数,避免了传统SVM在模型选择上经验性强和计算量大的不足.同时又分别以径向基核函数(RBF)和多项式函数为例进行试验,显示采用该方法的算法步骤.结合试验结果,得出关于核参数的选择问题一般在一个开集内只有有效值,不存在最优值,即是一个多目标优化问题的结论.并引用已有的实验结果充分支持我们的结论.max-min方法不仅在理论上提供了一种选择最优核参数的方法,而且对试验性选择具有指导作用.     

河南省农业循环经济发展模式研究

循环经济是解决农业生产过程中环境污染、提高农业收益的重要方式,在深入分析河南省农业循环经济发展中出现的各类问题的同时,总结了全省农业循环经济发展的3种模式,并在此基础上,提出今后构建循环农业新模式的建议与对策.