Practical Fusion of Quantized Measurements via Particle Filtering

Most treatments of decentralized estimation rely on some form of track fusion, in which local track estimates and their associated covariances are communicated. This implies a great deal of communication; and it was recently proposed that by an intelligent quantization directly of measurements, the communication needs could be considerably cut. However, several issues were not discussed. The first of these is that estimation with quantized measurements requires an update with a non-Gaussian distribution, reflecting the uncertainty within the quantization "bin."; In general this would be a difficult task for dynamic estimation, but Markov-chain Monte-Carlo (MCMC, and specifically here particle filtering) techniques appear quite appropriate since the resulting system is, in essence, a nonlinear filter. The second issue is that in a realistic sensor network it is to be expected that measurements should arrive out-of-sequence. Again, a particle filter is appropriate, since the recent literature has reported particle filter modifications that accommodate nonlinear-filter updates based on new past measurements, with the need to refilter obviated. We show results that indicate a compander/particle-filter combination is a natural fit, and specifically that quite good performance is achievable with only 2-3 bits per dimension per observation. The third issue is that intelligent quantization requires that both sensor and fuser share an understanding of the quantization rule. In dynamic estimation this is a problem since both quantizer and fuser are working with only partial information; if measurements arrive out-of-sequence the problem is compounded. We therefore suggest architectures, and comment on their suitabilities for the task. A scheme based on delta-modulation appears to be promising.     

基于Web的飞机维修管理信息系统

结合某部附件维修厂的飞机维修过程,采用B/S模式,以Bea公司的Weblogic作为Web服务器,Oracle8作为后台数据库管理信息系统,架构了基于Web的飞机维修管理信息系统,同时叙述了系统实施的硬件和软件方案。     

一种光学遥感成像系统优化设计新方法研究

针对空间光学高分辨率遥感器,既要实现轻小型化,又要获得高品质遥感图像的要求,文章提出一种空间光学遥感成像系统优化设计新方法;综合考虑成像链路各环节因素,采用全面的指标设计和合理的优化设计流程来改进空间光学遥感成像系统的总体指标和成像品质,并显著降低遥感器的研制难度.通过比较全链路优化设计方法和传统设计方法的仿真结果及其...     

耦合电感对多路输出电源输出纹波的影响

输出电液脉动是多路输出电源的一个重要性能指标，而耦合电感又是影响多路输出电源输出电流动的关键部件，因此需要研究耦合电感对输出电路脉动的影响，本文以两路输出电源为例，深入分析了耦合电感对输出电流脉动的影响，首先相入简单有效的数学模型，在此基础上给出了耦合电感匝比关系的一般选取原则。然后进一步分析了耦合电感各参数对输出电流脉动的影响，并提出新的调整输出纹波的方法，实验结果验证了所提方法的有效性。     

空间TDICCD相机动态信噪比计算方法研究

信噪比是空间光学相机系统的主要设计指标之一,可用于表征相机的辐射性能。文章通过建立遥感卫星轨道模型,分析计算一年中任意时刻用太阳高度角和卫星观测角描述太阳、卫星、地面目标点之间的相对位置关系,并将计算得到的卫星观测角和太阳高度角等参数导入大气传输软件MODTRAN,输出在相机入瞳处的地面目标光谱辐亮度,再根据信噪比的计算方法,最后完成TDICCD相机动态的信噪比计算值。通过该方法,可以计算任一时刻任一观测目标的信噪比,这将有利于判断在某一时刻的能量是否满足观测要求,以随时改变TDICCD的探测器级数,使得成像像质达到最佳。     

Transient thermal behavior of stratospheric balloons at float conditions

The prediction of the thermal behavior of stratospheric balloons under varying environmental conditions is one of the key issues in the design and flight test of balloons. In this paper, a three-dimensional transient thermal model is developed to predict the thermal behavior of spherical stratospheric balloons. The diurnal variations of the skin and lifting gas temperatures at float conditions are discussed in detail. The further studies on the thermal behavior of stratospheric balloons are presented also.     

基于人工免疫算法的编队压制干扰资源分配

通过对舰艇编队雷达有源干扰资源分配问题的研究分析,将免疫算法应用在编队有源压制干扰资源分配中,构建了分配的数学模型.提出了相关定义和一种能有效表达编队有源压制干扰资源分配的抗体染色体矩阵编码方案,并给出了亲和度算法.在假定情况下进行了仿真计算,得到了有效的有源压制资源分配方案,通过实例验证了算法的正确性和有效性,为求解更复杂的编队干扰资源分配问题提供了参考方案.     

一种软件测试过程的博弈模型

为分析软件测试的动态过程及其中诸影响因素之间的关系,运用博弈理论,提出了一种新的软件测试过程建模分析方法.建立了一种软件测试过程的博弈模型,并在此基础上对测试过程中的各方决策条件和博弈均衡条件进行了讨论,其结论有助于理论分析和解决"测试策略选择"和"何时停止测试"等问题.由于考虑了参与软件测试活动的各方利益和可能行为,此方法较之软件测试控制论更能够对软件测试过程中所出现的情况进行解释.本模型可为软件测试规程设计提供理论依据,增强软件测试过程的可管理性.      

神经元最优状态反馈控制及其在登月问题中的应用研究

以非线性系统自学习最优控制算法为基础，提出了一种基于人工神经元网络的非线性状态反馈最优控制策略，使非线性不确定性的被控系统能通过自学习实现某种最优的非线性反馈控制，本文对该控制策略在登月软着陆问题中应用进行仿真研究，验证了该控制策略的可行性和有效性。     

移相控制全桥变换器的分析

移相控制全桥主换器利用变压器的漏感和功率管的寄生电容来实现零电压开关,同时又实现了ＰＷＭ控制,而不需要增加吸收电路。该变换器电路结构简洁,控制电路螽,是中大功率直直变换场合的理想电路拓扑之一。