被动成像广域空中监视系统综述

被动成像广域空中监视（Wide Area Airborne Surveillance, WAAS）系统因其良好的隐蔽性和动态监视的实时性、持久性及大面积覆盖,已成为情报监视侦察的重要工具,广泛应用于军事、民用领域。文章结合典型被动成像广域空中监视系统（如自动实时地面全部署侦察成像系统 ARGUS-IS）的特点,从光电传感器设计、数据传输与信息处理等方面阐述被动成像WAAS的系统特点及关键技术环节;重点分析了大视场高分辨率的实现方式、海量数据传输与存储、数据智能分析等制约被动成像WAAS性能的瓶颈技术,为被动成像WAAS的研制与应用提供了参考。     

Retrieval of spinach crop parameters by microwave remote sensing with back propagation artificial neural networks: A comparison of different transfer functions

Back propagation artificial natural network (BPANN) is a well known and widely used machine learning methodology in the field of remote sensing. In this paper an attempt is made to retrieve the spinach crop parameters like biomass, leaf area index, average plant height and soil moisture content by using the X-band scattering coefficients with BPANN at different growth stages of this crop. The maturity age of this crop was found to be 45 days from the date of sowing. After 45 days from the date of sowing, this crop was cut at a certain height for production. Then, it is a point of interest to investigate the microwave response of variation in production. Significant variations in all the crop parameters were observed after cutting the crop and consequently made the problem more critical. Our work confirms the utility of BPANN in handling such a non-linear data set. The BPANN is essentially a network of simple processing nodes arranged into different layers as input, hidden and the output. The input layer propagates components of a particular input vector after weighting these with synaptic weights to each node in the hidden layer. At each node, these weighted input vector components are added. Each hidden layer computes output corresponding to these weighted sum through a non-linear/linear function (e.g. LOGSIG, TANSIG and PURLIN). These functions are known as transfer functions. Thus, each of the hidden layer nodes compute output values, which become inputs to the nodes of the output layer. At nodes of output layer also a weighted sum of outputs of previous layer (hidden layer) are obtained and processed through a transfer function. Thus, the output layer nodes compute the network output for the particular input vector. In this paper, output nodes use linear transfer function. Different transfer functions e.g. TANSIG, LOGSIG and PURELIN were used and the performance of the ANN was optimized by changing the number of neurons in the hidden layers. The present analysis suggests the need of critical analysis of the BPANN in terms of selection of the best transfer function and other network parameters for the better results.     

基于CAN总线的虚拟化以太网接口设计和实现

针对卫星载荷间基于控制器局域网（CAN）总线的IP通信,提出了一种CAN接口虚拟化机制,称为IPoverCAN。通过IP地址和CAN地址映射、IP报文分片/重组和多路缓冲队列管理等机制,将CAN接口抽象为虚拟的标准以太网接口。试验结果表明,IPoverCAN机制实现了CAN数据帧和IP报文之间的实时高效转换,可用于卫星载荷间通信等对设备质量和体积敏感的领域。     

月球着陆器着陆安全分析方法

月球着陆器软着陆地点选择及安全着陆实现是探月二期的关键问题.采用不考虑着陆器着陆过程中发动机控制、着陆姿态控制和动力学性能,在计算机上依据低精度月面数据和已有月面典型地形特征分布/形状模型仿真生成高精度着陆区域;根据着陆器的结构尺寸和着陆安全要求对每个安全参数进行计算、比较、判断得到单次着陆安全性,利用蒙特卡洛方法计算多次在仿真地形上的着陆安全概率.试验结果表明:采用这种方法时,着陆器的结构尺寸相同分析结果才有意义.在计算机上仿真生成着陆区域、设置着陆器结构尺寸和安全参数,使其可以用于地面系统的仿真实验,也可在月面软着陆过程中实时分析选定区域的着陆安全概率.     

不同聚集因素对燃烧室凝相颗粒粒度分布的影响

设计了一种凝相颗粒收集装置,可对燃烧室内不同聚集状态下的粒子进行完整的收集,并对颗粒的形态影响较小。针对HTPB推进剂,开展了不同流通面积和颗粒浓度条件下的粒子收集实验,利用扫描电镜和激光粒度分析仪,对收集到的粒子进行了分析。结果表明,不同聚集状态下的凝相颗粒粒径均分布在0.1～200μm之间,随着流通面积的减小,小于3μm的颗粒逐渐减少,3～10μm之间的颗粒变化不大,大于10μm的颗粒逐渐增加,颗粒平均粒径d43和d50均逐渐增大,且d43和d50的变化率也逐渐增加;随着颗粒浓度的增加,颗粒平均粒径d43和d50增大较明显。     

带拐弯混合管对波瓣混合器性能的影响

针对波瓣混合器进行了一系列的数值计算和模型实验研究,揭示了带拐弯混合管对波瓣混合器性能的影响.实验结果表明:混合管长径比小于2时,带拐弯混合管会造成高温气流在出口截面呈月牙形分布,月牙形包围着一个回流区,该回流现象对引射性能不利,计算结果则验证了该气流分布,认为带拐弯混合管降低了波瓣混合器的引射效率,为改善其引射性能,应该加长混合管使得混合管的长径比大于等于2.计算结果还发现了波瓣混合器的最佳长径比为2,且该值不随面积比变化,和最佳长径比为6的圆管混合器相比,波瓣混合器可以有效缩短混合管的长度.另外,进一步给出了引射比与长径比的拟合关系式.      

Solid rocket motor propellant grain burnback simulation based on fast minimum distance function calculation and improved marching tetrahedron method

To efficiently compute arbitrary propellant grain evolution of the burning surface with uniform and non-uniform burning rate for solid rocket motor, a unified framework of burning surface regression simulation has been developed based on minimum distance function. In order to speed up the computation of the mini-mum distance between grid nodes of grain and the triangular mesh of burning surface, a fast distance querying method based on the equal size cube voxel structure was employed. An improved marching tetrahedron method based on piecewise linear approximation was carried out on second-order tetrahedral elements, achieved high-efficiency and adequate accuracy of burning surface extraction simultaneously. The cases of star grain, finocyl grain, and non-uniform tube grain were studied to verify the proposed method. The observed result indicates that the grain burnback computation method could realize the accurate simulation on unstructured tetrahedral mesh with a desirable performance on computational time.     

基于改进遗传算法的移动目标成像侦测任务规划问题研究

基于先验信息调用成像侦察卫星监控陆地或海洋移动目标动态信息是卫星成像侦察面临的新 课题。在已知移动目标位置等先验信息基础上,动态构造目标可变潜在区域及其运动预测模 型,利用STK辅助构造其候选成像观测活动集合;在此集合及目标运动预测模型基础上 对动态可变区域成像卫星调度问题进行建模,并设计了一种基于模拟退火算法及遗传算法的 改进遗传算法对问题进行求解,得到近最优的移动目标成像侦测方案。最后通过实例及算法 对比验证了规划模型及算法对解决该类问题的合理性和有效性。
     

动态位置区分组寻呼策略研究

在低轨卫星通信系统中,位置区管理是移动性管理的重要组成部分。动态位置区相比于静态位置区能够降低移动性管理的系统开销,即当用户移动距离超过更新半径或者在位置区内的停留时间超过强制更新时间,则进行一次主动位置更新。分组寻呼是在广播寻呼和逐个寻呼之间的折中方案,优化了系统性能。文章基于动态位置区划分方案,根据用户的移动特性,提出了3种分组寻呼方案,研究了每种方案的开销和适用范围,并进行了分析和仿真比较。     

人在回路电视制导武器最佳投射域建模与仿真

为提高人在回路电视制导武器命中精度,必须选择合适的武器投射域。分析了影响武器投射域的主要因素和约束条件,建立了人在回路控制的电视制导武器防区外投射的数学模型。根据该模型,提出了一种基于图论的防区外武器最佳投射域算法,并对算法进行了仿真分析。仿真结果表明:该算法能够根据武器制导的约束条件找到满足武器投射的最佳投射域,该模型的建立和最佳投射域算法的提出为该类型电视制导武器的作战使用自动规划提供了依据和参考。