软件无线电的关键技术及其发展趋势

软件无线电技术近年来得到了较快发展,其主要是利用软件来实现无线通信系统中的各种功能。介绍了软件无线电的关键技术、评价标准和发展过程,并展望了软件无线电的发展前景。     

应用SoC实现装备维修改造的研究

片上系统(SoC)技术是近年来随着微电子技术发展出现的新技术,现已被广泛应用.利用SoC可以将原来由许多芯片完成的复杂功能,集中到一块芯片中完成,以获得更高的系统性能.以某火控系统中的模拟量输入通道为例,阐述了通过SoC技术,用基于FPGA/CPLD的方法对火控系统硬件电路进行维修改造,从而探讨了解决装备维修问题的一种方法.并讨论了改造过程中单稳态触发器96L02的替代问题,以及FPGA/CPLD与外围电路的驱动能力问题.     

C4ISR中基于XML的标准化作战文书与数据库的映射

基于XML的标准化作战文书有利于C4ISR应用或仿真系统中作战文书的网络动态数据传输;而要实现C4ISR中作战文书自动化处理的其他功能,还需把XML文档和成熟的关系数据库的互补功能结合起来.通过对作战文书标准化系统整体流程的分析,提出了用标准化作战文书的DTD文档作为连接关系数据库和XML文档的中间件,并给出了XML文档结构和关系数据库结构相互之间的转换机制.     

基于XML的装备作战需求建模数据抽取

武器装备作战需求建模数据是作战需求分析的基础。针对当前武器装备作战需求建模缺乏对建模数据有效管理的现状,提出了基于XML的作战需求建模数据抽取方法。充分利用XSLT在解决文档转换问题上的优势,使其与XPath相结合生成抽取规则,生成结构良好的建模数据文档。     

三坐标雷达目标真实高度估计算法研究

在目标跟踪领域,通过三坐标雷达的测量值(斜距、仰角及方位角)来估算目标的真实高度一直是个难点。目前主要有两类处理方法:坐标转换法和等效地球半径法。前者把与雷达天线相关的三坐标测量值转换到大地坐标系统来计算目标高度;后者充分考虑地球曲率以及大气折射的特性,通过增加地球半径来估算目标的高度。最后对上述的两类方法进行总结、比较与分析。     

一种基于SOAP安全的网络中心发布/订阅机制

针对网络中心发布/订阅系统异步、松散耦合和多对多通信等特点,采用了SOAP消息传递机制对信息进行了封装,从而屏蔽了信息的异构性。考虑到信息传输的可靠性,采用XML-Encryption机制构造SOAP消息,为消息交换和数据传输提供一种安全的保证。实际应用表明该系统在网络中心战中有较好的应用前景。     

基于察打任务的无人机作战效能评估

首先根据时敏目标打击的特点,分析了察打任务模式下的察打一体无人机的作战使用。然后对评估体系中察打一体无人机的侦察能力与打击能力相关性进行了分析,同时将任务可执行度作为无人机效能评估的一项动态权衡标准,建立了基于察打任务的无人机效能评估模型,并基于效能指标体系建立了各分项模型。最后通过算例验证了模型的可行性。     

载机扰动下SAR/GMTI旋转目标微多普勒特性分析

目标微动部件激励的雷达微多普勒信号稳定而独特,反映了该目标的本质特征。针对采用相位中心偏置技术(DPCA)的SAR/GMTI系统,研究存在载机扰动下的旋转目标的微多普勒特性。构建飞行平台与微动目标的几何模型,推导旋转目标的微多普勒信号模型,分析典型的载机纵向扰动对微多普勒时频特性构成的影响;并通过仿真实验,验证了上述理论分析的正确性。     

基于χ~2检验的惯性/卫星紧耦合系统故障检测与隔离方法

研究了一种基于χ~2检验的惯性/卫星紧耦合系统故障检测与隔离方法,该方法可利用故障检测函数自动识别单个卫导故障,并实时剔除故障星重构观测信息序列,从而避免了对紧耦合系统的影响。构建数字化仿真环境对所研究的故障检测与隔离方法进行了仿真,仿真结果表明,该方法可在卫星发生故障时及时检测并隔离故障星,并自动实现观测信息重构,保证了紧耦合系统的精度和完好性。     

Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016