基于CRC校验的航电网络传输通道安全性分析

完整性概率是民用飞机与系统安全性的评价指标之一。循环冗余校验(CRC)是航空电子系统通信网络中广泛应用的完整性设计措施。针对缺乏CRC校验定量安全性分析的现状,基于标准CRC校验的性能,研究了业务数据在航空电子系统通信网络传输过程中出现错误且被CRC漏检的概率。结合案例分析了CRC校验对航电网络传输通道完整性需求的影响。分析结果表明通过在应用层采取CRC校验等设计措施,并确保业务数据在网络传输过程中发生错误且被CRC漏检的概率满足顶层分配的完整性需求,则网络传输通道或链路层可无需考虑针对特定业务数据的完整性需求,进而缓解对网络传输通道的安全性需求。分析思路为航电网络CRC校验设计及安全性分析提供参考。     

基于多令牌协议航电WDM光环网波长分配方法

 针对航空电子光网络的实时性问题,建立了航空电子波分复用(WDM)环网模型,以实时消息流矩阵作为网络的输入,依据静态光网络最小化波长数目的优化目标,提出了一种基于多令牌协议的光网络波长分配方法,并推导了航电光网络中光通道的端到端传输时延计算公式。通过对理论计算和仿真结果的分析,此协议下的波长分配方法在网络中可以实现波长重用,比传统环网的波长数目平均降低了58.1%,优化了波长数目,并且多令牌控制协议满足航空电子网络对消息实时性的要求。此方法对于航空电子光网络的设计与性能分析具有参考价值。     

光纤通道交换网络WRR实时调度算法分析

 随着综合航电系统的发展,1553B总线已经不能满足发展的需要,光纤通道交换式网络作为新一代高性能网络通信协议被引入到航电系统中,其性能指标与整个航电系统的总体指标有着密切的关系.为了解决系统消息实时发送的问题,研究了光纤通道交换网络实时条件下加权轮询调度算法的通信性能,利用随机Petri网对光纤通道交换网络的调度过程进行了建模,通过对模型的仿真和分析,得到了数据传输量及传输时限变化时系统网络负载、延迟时间、超时消息所占比例等重要性能指标,并分析了调度算法的性能.仿真结果证明光纤通道交换式网络具有高速稳定性,加权轮询调度算法能够满足消息传输的实时性、公平性要求.     

基于GIS的雷达网抗干扰效能评估系统设计

针对以往雷达网抗干扰效能评估不具有直观性、脱离战场地形环境的缺点,设计了一种基于GIS的雷达网抗干扰效能评估系统,实现了可视化的雷达网抗干扰效能评估。仿真应用表明,此系统具有较高的推广和实际应用价值。     

一种电动汽车用驱动电机系统性能评价方法

根据电动汽车用驱动电机性能特点,从驱动电机系统的电机控制性能、电机本体设计、企业资质能力等不同维度分析,应用层次分析法(AHP)确定驱动电机性能评价指标体系及其指标权重,建立驱动电机性能评价的BP神经网络模型,并采用鸡群优化算法(CSO)对其模型进行优化。仿真实例表明,基于AHP和CSOBP神经网络的驱动电机系统性能评价方法,具有评价速度快、准确率高等优点, 并得到满意的评价结果。这对于电动汽车驱动电机系统的评价、选择与应用,具有较好的工程实用价值。     

导弹武器系统时间同步网的综合性能评估方法

针对导弹武器系统时间同步网（MWSTSN）现有评估方法不全面、不客观等问题,提出了一种基于权系数优化的导弹武器系统时间同步网的综合性能评估方法。首先,基于时间同步网的工作流程与系统结构,综合分析了影响系统性能的各项指标,建立了导弹武器系统时间同步网性能的评估体系与评估模型。通过构建主、客观指标权重的分配系数最优化模型,利用层次分析法和熵值法对上述指标进行组合赋权,获取具有主、客观特性的组合权重。最后,通过案例验证上述评估过程的有效性,结果表明：该评估体系能够有效反映导弹武器系统时间同步网中各分系统及设备的可用性,并具备可测性和可操作性。     

Nonredundant error correction DQPSK for the aeronautical-satellitechannel

The performance of differentially encoded quadrature phase-shift keying (DQPSK) system employing nonredundant error correction (NEC) receivers with single- and double-error correction capability is analyzed and evaluated for the aeronautical satellite channel. The NEC is an attractive coding technique which employs differential detectors with more than one symbol delay elements and which does not introduce any redundancy as other coding schemes do. As typical for aeronautical satellite communications, a Rician fading channel with Gaussian power spectrum has been considered. Unlike the additive, uncorrelated from symbol to symbol interference such as additive white Gaussian noise (AWGN) or static cochannel interference (CCI) which has been investigated in the past, analysis of the performance in a fading channel is much more difficult. The difficulty arises from the multiplicative and correlative nature of the fading interference. Bit error rate (BER) performance evaluation results have been obtained by means of computer simulation for various channel conditions, including different values of the K-factor and the fading B_DT. These results have indicated that considerable performance gains as compared with conventional differentially detected systems are achieved for high values of K and for very fast fading. Both of these conditions are encountered in typical aeronautical communication systems. Wherever possible, heuristic explanations of the trend of the obtained BER performance evaluation results are also given     

基于神经网络的雷达抗干扰效能评估方法

雷达抗干扰效能是衡量雷达设备性能的重要指标,如何准确、客观、快捷地评估雷达抗干扰效能,对雷达、干扰双方均具有重要的现实意义。文章通过对雷达传统的抗干扰效能加权评估方法的分析,提出了基于神经网络的雷达抗干扰效能综合评估方法,并将该评估方法应用于雷达接收机抗干扰的技术等级评判实例中。实例结果表明,该评估方法能客观、定量地评估雷达抗干扰效能,具有一定的实用性。     

基于进化神经网络的压气机结垢性能退化评估

采用进化神经网络方法,通过测量参数对压气机结垢性能退化模式进行了定量监控和评估。运用粒子群算法优化径向基函数(Radial Base Function,RBF)神经网络的初始权值,即由神经网络训练样本所得到的实际和期望的输出之间的误差平方和构造适应度函数,对RBF神经网络的隐层中心、半径以及输入输出权值进行全局寻优搜索,设计了进化RBF神经网络,并对模拟得到的压气机结垢的样本进行训练和测试。结果表明:进化RBF神经网络的模式识别能力比普通RBF神经网络的要强,对燃气轮机性能退化评估和健康管理具有重要理论意义和应用价值。     

Mobility control of unmanned aerial vehicle as communication relay in airborne multi-user systems

In this paper, a model-based adaptive mobility control method for an Unmanned Aerial Vehicle(UAV) acting as a communication relay is presented, which is intended to improve the network performance in airborne multi-user systems. The mobility control problem is addressed by jointly considering unknown Radio Frequency(RF) channel parameters, unknown multi-user mobility, and non-available Angle of Arrival(AoA) information of the received signal. A Kalman filter and a least-square-based estimation algorithm are used to predict the future user positions and estimate the RF channel parameters between the users and the UAV, respectively. Two different relay application cases are considered: end-to-end and multi-user communications. A line search algorithm is proposed for the former, with its stability given and proven, whereas a simplified gradient-based algorithm is proposed for the latter to provide a target relay position at each decision time step, decreasing the two-dimensional search to a one-dimensional search. Simulation results show that the proposed mobility control algorithms can drive the UAV to reach or track the optimal relay position movement, as well as improving network performance. The proposed method reflects the properties of using different metrics as objective network performance functions.     

多载波调制结合Turbo编码技术的性能分析

多载波调制是一种有效克服衰落信道频率选择性的技术,从而显著减少码间干扰(ISI)。Turbo码以其接近香农极限的工作性能受到人们的注目,它能在极低信噪比条件下提供可靠通信。把多载波调制与Turbo 编码结合起来能够对整个系统提供显著的性能增益。本文试图对采用这两种技术的通信系统给出性能上的评估。     

基于DEA/ANP方法的 声纳浮标搜潜方案决策模型

提出了在反潜巡逻机应召搜潜效能评估中,声纳浮标搜潜方案选择的新方法。首先,根据数据包络分析法(DEA)对方案进行客观性较强的横向评价。然后,由方案构建结构网络化的分析模型。根据网络层次分析法(ANP)的基本理论对模型进行优化,设计面向领域并支持ANP可视化描述与科学决策的工具,并对方案进行主观性较强的纵向比较。结合两次评价结果得到最优的结论。     

机载令牌传递网络的计算机仿真研究

从机载令牌传递网络的基本原理出发,建立了网络模型,按照计算机仿真的一般方法建立了系统的仿真模型,给出了仿真程序的实现,进而对仿真模型的有效性进行了验证,并给出了机载环境下的性能仿真。     

基于NIRGAM的片上网络性能仿真

采用虫孔交换和虚拟通道技术的片上网络系统(NoC)能极大地降低传输延时,防止微片拥塞,增大网络吞吐率,从体系结构上解决了总线通信技术的瓶颈。片上网络的虚拟通道由多个缓冲区组成,其数目直接影响芯片的面积,必须通过仿真得到面积和缓冲区数目的平衡。使用NIRGAM仿真器对不同缓冲区数目的 2D Mesh片上网络进行了仿真,对其源代码中几个重要参数提出了修改建议,仿真结果表明,在本文配置的通信情况下缓冲区深度为4微片时NoC系统整体性能最好。     

Performance of a two-layer LEO satellite communication network

A novel two-layer low Earth orbiting (LEO) satellite network is proposed. Comparing with a single layer global network, not only the system performance is improved but also the number of satellites can be reduced. The main ideas include (1) to raise the altitude of the original global network, and (2) to add several satellites at lower altitude to form a regional network to serve calls from the areas of heavy traffic. In order to fully utilize the benefits of the two-layer network, additional functions such as adjustable beam and dynamic channel management are added. Call blocking rate is derived. Numerical examples are provided to demonstrate several interesting phenomena.     

Sidelobe blanking with integration and target fluctuation

In radar systems, sidelobe blanking (SLB) is used to mitigate impulsive interference that enters the radar through sidelobes of the main antenna. SLB employs an auxiliary antenna channel with the output being compared with that of the main antenna channel and a decision is then made as to whether or not to blank the main channel output. SLB performance determination involves the evaluation of several probability functions. Based on the classical Maisel SLB architecture, this work extends previous performance results, in which detection was limited to the case of a single radar pulse with either Marcum or Swerling I target fluctuation. Probability expressions have been generalized to include both an arbitrary number of integrated pulses and target fluctuation models based on the gamma distribution. The Swerling fluctuation models are all special cases of the gamma distribution. Results are derived in terms of two generalized probability functions, one for detection and the other for blanking. With these generalized probability functions, the SLB design and performance results can be determined. Examples are presented and discussed.     

连续时变信道对协作通信性能影响的研究

协作通信能够抵抗无线信道衰落,是提高无线通信系统性能的有效手段。但是,其性能优势的发挥受信道时变的影响。文章研究了连续时变信道下协作通信系统的性能,为了准确反映信道连续时变情况,采用内插滤波高斯噪声法构建连续时变信道模型,选取误包率作为性能指标。仿真结果表明,连续时变信道下,随数据传输逐渐加重程度的过时信道状态信息将导致协作通信误包率性能大幅恶化。     

网络性能指标及测量技术

主要介绍了网络性能评价的指标、方法、协议、工具.并自行设计基于JAVA的SNMP网络管理软件,采集到了的流量和拓扑结构情况.     

基于OPNET的CSMA协议性能研究

CSMA协议是无线自组织网络MAC协议中的基本协议,研究其在不同网络条件下的通信性能,对于指导该协议在实际中的具体应用具有重要的作用.基于OPNET网络仿真软件,实现了CSMA协议,设计了不同网络条件下的仿真实验,研究了几个主要的网络参数对CSMA通信性能的影响,为实际网络条件下的CSMA协议性能评估提供参考.     

受限资源下制导武器末制导机器视觉技术研究

针对精确制导武器末制导机器视觉技术应用需求,研究了基于卷积神经网络的、针对复杂背景及小目标的自主目标检测识别算法,并分别进行了网络性能评估和硬件资源需求定量评估。针对最优算法,提出了基于嵌入式受限资源下的高精度神经网络压缩算法,并对算法进行了普适性评估。基于GPU嵌入式平台,实现TensorRT路线网络优化,并在速度和精度两方面均衡考虑下,对裁剪与量化算法进行了详细实验验证。实验结果表明,高精度神经网络压缩算法在硬件资源受限条件下,可以有效提升推理速度,最终经算法优化后的网络结构,可以获得3倍以上的速度提升,网络精度损失小于5%。