AFDX网络终端系统调度方法研究

对AFDX终端系统子虚拟链路到虚拟链路的分配调度方法进行了研究，对AFDX流量整形约束机制下的通信任务的数据包延迟抖动进行了分析和仿真，验证了AFDX网络在保证网络实时通信方面的特点。通过仿真，得到了FIFO、Round-Robin度方法和最小调度抖动调度方法的特点和各种调度方法使用的范围。     

VMIC实时网络在导弹半实物仿真中的应用

实时通信技术和同步算法是半实物仿真系统的关键技术。本文针对某型导弹半实物仿真系统强实时性的设计需求,选择VMIC反射内存卡来搭建仿真系统通信网络平台。采用基于VMIC虚拟共享内存软件中间件的设计方法,提出服务器、客户机和监听机3种工作模式,完成了整个实时网络通信程序的开发,解决了实时通信和时钟同步问题。平台仿真结果表明,该半实物仿真系统具有很好的实时性,仿真周期内没有出现数据错帧和丢帧现象,保证了系统数据通信的同步,对导弹武器系统研制具有重要的应用价值。     

正态随机噪声的产生算法

正态随机噪声是各种滤波方法和通信系统的系统约定输入噪声,在仿真计算和方法验证中经常用到,合理地产生符合规定分布的噪声序列是检验一个系统和滤波方法的关键,文中从理论出发严密推导并介绍了正态噪声的产生方法.     

基于模型的综合通信导航识别系统虚拟样机设计

为解决基于文档的综合通信导航识别系统设计中需求传递的歧义性、设计文档信息离散、系统无法进行仿真验证等问题,研究了一种虚拟样机设计方法。首先,针对综合通信导航识别系统多领域的特点设计了一种由需求模型、架构模型和实现模型构成的三层次虚拟样机模型;其次,对当前主要的基于模型的设计方法与流程进行了深入研究,通过对比分析选择了Harmony SE作为综合通信导航识别系统虚拟样机的设计流程;最后,以某综合化通信导航识别系统为例进行了三层次虚拟样机的设计及仿真验证。设计结果表明,该设计方法能有效解决基于文档设计存在的问题,适用于各类综合通信导航识别系统虚拟样机的设计。     

一种基于双中断的反射内存网通信方法研究

在飞机D级模拟器研制中,针对模拟器仿真设备和真实设备之间数据传输问题,分析了传统以太网广播和组播的机制,提出了一种基于双中断的反射内存网通信方法实施方案。该方案通过在反射内存网上模拟以太网的广播与组播,实现了环形网络中各节点间的高速通信。该方案的实现,不仅解决了环网各节点通信过程中读写串行化的问题,还解决了模拟器研制过程中设备之间的实时通信、错帧、丢帧以及数据同步问题。目前,该通信方法已应用至飞机D级模拟器中。     

分布式干扰对TH-PPM-UWB通信干扰的仿真分析

从通信干扰角度,本文首先讨论了分布式干扰的功率优势,重点分析了分布式干扰(音调干扰信号)对TH-PPM-UWB通信系统的干扰效果,并运用蒙特卡洛实验方法对干扰效果进行了仿真,最后综合理论和仿真给出了部分有益的结论。     

通信约束下异构多无人机任务分配方法

针对异构多无人机协同执行侦察和打击任务中,存在通信距离、时间延迟等约束条件下的局部任务分配问题,提出了一种基于合同网的分布式多无人机任务分配方法。首先建立了异构集群发现新目标时的局部任务分配问题模型,设计了局部无人机通信网络中的信息一致性算法,实现了任务分配过程中任务发布阶段各无人机的冲突消解。设计了任务分配过程中的联盟构建和无人机资源管理方法,使联盟中各无人机能够以更加平衡的方式消耗资源。仿真结果表明,该方法能够解决通信约束下,异构多无人机执行察打任务时,所触发的针对目标打击任务的任务分配问题,且能够获得最大的系统效能。     

飞行模拟器中多功能显示器的半实物仿真

介绍了多功能显示器（MFD）仿真件的结构组成及其在飞行模拟器中的布局，解决了仿真件设计中视频接口和串行接口与计算机的连接与通信问题，减少了硬件的耦合度，增强了通用性。阐述了显控仿真软件的实现过程和方法。采用OpenGL技术设计了显控软件，应用状态矩阵实现了复杂控制逻辑关系的处理。     

毫米波通信定位一体化自组网资源分配技术

毫米波通信链路具有低延迟、高速率和高定向性的特点,能够实现高速率自组网通信和高精度节点定位。在通信定位一体化背景下,研究了毫米波自组网中的多用户资源分配问题。系统采用基于正交频分多址(OFDMA)的多用户通信定位一体化框架,推导了基于位置估计误差界(PEB)和方位估计误差界(OEB)的多用户定位性能准则和基于数据速率的通信准则,建立了时域和频域的资源分配优化问题模型,在保障链路通信速率的前提下,最优化用户的定位性能指标。为了求解上述混合整数非线性规划问题,引入广义Benders分解算法,将优化问题分解为主问题和子问题进行迭代求解,得到有效的资源分配结果,最后通过仿真验证了资源分配对定位与通信性能的影响以及算法的有效性。     

定时器串口通信在准实时半实物仿真中的应用

在准实时半实物仿真试验中,要求操作系统必须具有精确的时间和可预测性,在普通的Windows环境下多串口通信的可靠性和稳定性很难达到试验要求。为了满足仿真信息的实时性要求,介绍了在Windows环境下基于定时器和串口卡的多线程串口通信技术,重点说明了设计方案的实现方法和编程要点,给出了串口在准实时半实物仿真中与远程终端进行精确定时通信方法。结果证明,可以满足实时性和数据同步可靠性的要求,并在相关领域具有重要的参考价值。     

Increasing Frequency Spectrum Utilization in Mobile Systems

In mobile radio communication systems, one of the most significant problems is to use the radio frequency spectrum as efficiently as possible, because the radio frequency spectrum is finite. This paper classifies a variety of techniques for increasing frequency spectrum utilization. Next, it is clarified that our proposed ``new channel assignment algorithm' is more efficient than other algorithms through simulation analysis.     

A Study on Particle Filters for Single-Tone Frequency Tracking

In this paper, we present an online approach for frequency tracking of a noisy sinusoid using sequential Monte Carlo (SMC) methods, also known as particle filters (PFs). In addition, apart from employing the classical Cartesian formulation model, we also develop two alternative dynamical models, namely, nearly constant frequency (NCF) and Singer, which are adapted from the maneuvering target tracking discipline, to describe the evolution of time-varying frequencies, and investigate their fitness to the frequency tracking application. When compared with conventional techniques whose performance is restricted to linear Gaussian models and/or to slowly varying frequencies, PFs are more flexible to handle situations where these conditions are violated. Extensive evaluations on the proposed new models and PF tracking algorithms are conducted with different sets of frequency inputs and levels of signal-to-noise ratio (SNR). According to the computer simulation results, it is found that PFs under all investigated models consistently outperform and are less sensitive to SNR levels than the extended Kalman filter (EKF). Furthermore, the results suggest that while none of the models perfectly fits all types of frequency inputs, NCF model is more suitable for moderately varying frequencies, whereas the Singer is more suitable for rapidly changing frequencies.     

IMPROVED STRATIFIED SAMPLING MONTE CARLO METHOD TO ANALYZE RELIABILITY OF STRUCTURAL SYSTEMS

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基于网络编码的空间DTN中CGR改进算法

随着空间通信技术的发展,卫星节点的增多,以及容延迟容中断通信需求的不断提高,空间DTN (DelayTolerant Network,容延迟网络)环境中各通信节点间的路由技术日益重要,相继出现了多种适用于DTN的路由技术.基于空间DTN的结构与特点,对CGR(Contact Graph Routing,接触图路由)算法以及基于编码的路由算法进行了分析比较,然后针对空间DTN中CGR算法的缺点和不足,研究提出了基于NC(Network Coding,网络编码)的空间DTN中的CGR改进算法(NC-CGR),并通过仿真实验平台对算法性能进行了分析评估.仿真结果表明,相比于CGR算法,NC-CGR算法在链路传输时延、传输包裹数目、中继缓存大小、链路丢包率等不同条件下的适应性方面均表现出较大优势,更适用于具有复杂拓扑、带宽受限、高动态特性的空间DTN环境.     

基于XML的飞行仿真气动力模型存储格式

飞行仿真获取气动力/力矩的传统方法主要是将气动力模型硬编码在仿真程序进行求解。由于气动力模型和求解程序耦合,一旦修正或更换气动力模型,需要花费大量代价来重新构建仿真过程,无法满足现代飞行器仿真的需求。根据气动力模型树形结构的特点,提出了气动力模型树的概念并基于XML语言的特点设计了一种模型存储格式（MBX）来存储气动力模型树。MBX存储格式不仅提高了飞行仿真系统更换和修正气动力模型的效率,而且提高了气动力/力矩解算的通用性,使得气动力/力矩的求解能够被标准化。MBX存储格式作为气动力模型交换标准不仅能把不同部门交换气动力模型的时间从几周/人缩短至几天/人,也能加快气动力模型逼近飞机真实气动特性的进程。     

非线性系统中多传感器目标跟踪融合算法研究

 研究了在非线性系统中 ,基于转换坐标卡尔曼滤波器的多传感器目标跟踪融合算法。通过分析得出 :在非线性系统的多传感器目标跟踪中 ,基于转换坐标卡尔曼滤波器 ( CMKF)的分布融合估计基本可以重构中心融合估计。仿真实验也证明了此结论。由此可见分布的 CMKFA是非线性系统中较优的分布融合算法     

Window-Based and Rate-Based Transmission Control Mechanisms over Space-Internet Links

Space communications urgently need an effective transmission control mechanism. This paper presents an experimental, comparative analysis of window-based transmission control, rate-based transmission control, and a hybrid of the two over error-prone, congestion-free, high-latency, point-to-point space communication links simulated using the space-to-ground link simulation (SGLS) test-bed. The results revealed that the traffic shaping mechanism of rate-based transmission protocol is more effective than the bursting flow of window-based protocol over simulated space communication links with a high error rate and a long link delay. The window-based transmission mechanisms show performance degradation due to traffic bursts and frequent packet retransmissions caused by their acknowledgment (ACK)-clocked transmission control algorithms. Pure rate-control is always preferable to other mechanisms in the simulated congestion-free, error-prone, point-to-point, geostationary-Earth orbit (GEO)-space communication channels, and its advantages become more pronounced when the channel rates are asymmetric. The performance differences come from their different behavior in controlling data transmission.     

Single-phase power distribution system power flow and faultanalysis

Alternative methods for power flow and fault analysis of single-phase distribution systems are presented. The algorithms for both power flow and fault analysis utilize a generalized approach to network modeling. The generalized admittance matrix, formed using elements of linear graph theory, is an accurate network model for all possible single-phase network configurations. Unlike the standard nodal admittance matrix formulation algorithms, the generalized approach uses generalized component models for the transmission line and transformer. The standard assumption of a common node voltage reference point is not required to construct the generalized admittance matrix. Therefore, truly accurate simulation results can be obtained for networks that cannot be modeled using traditional techniques     

高速光纤总线在导弹综合信息一体化技术中的应用

随着弹上设备日益复杂和综合,高速光纤总线网络以其带宽高、质量轻、可靠性高、电磁兼容性好等特点,成为实现导弹综合信息一体化的有效途径。结合新一代导弹武器综合信息传输需求,提出了一种适合弹上信息传输的基于反射内存超高速光纤总线设计方案,完成了反射内存接口适配器的设计,搭建了测试验证系统。测试结果表明,该光传实时网络可在一定程度上满足弹上信息传输系统在传输速率、实时性、可靠性、容错能力等方面不断增长的要求。     

Centralized and distributed multisensor integration withuncertainties in communication networks

Algorithms in which each sensor is represented in a local coordinate system and the communication networks between sensors have uncertainties are considered. The algorithms are general and can be applied to various integration tasks. The effects of the communication network uncertainties are minimized in the local estimation and central fusion processes. In the centralized multisensor integration, the local measurements and local measurement models are transferred to the central coordinate system and the optimal integration is obtained at the central process. In contrast, the local measurements, together with the previous central estimate transmitted from the communication network, are locally processed in the distributed multisensor integration algorithm. Because the distributed algorithm uses the communication networks twice, more errors are introduced, so that when the uncertainties are large, the centralized algorithm is preferred. Although the algorithms are developed in the three-dimensional coordinate system, with straightforward extension they can be applied to N-dimensional coordinate systems