An optimization approach for observation association with systemic uncertainty applied to electro-optical systems

The observation to observation measurement association problem for dynamical systems can be addressed by determining if the uncertain admissible regions produced from each observation have one or more points of intersection in state space. An observation association method is developed which uses an optimization based approach to identify local Mahalanobis distance minima in state space between two uncertain admissible regions. A binary hypothesis test with a selected false alarm rate is used to assess the probability that an intersection exists at the point(s) of minimum distance. The systemic uncertainties, such as measurement uncertainties, timing errors, and other parameter errors, define a distribution about a state estimate located at the local Mahalanobis distance minima. If local minima do not exist, then the observations are not associated. The proposed method utilizes an optimization approach defined on a reduced dimension state space to reduce the computational load of the algorithm. The efficacy and efficiency of the proposed method is demonstrated on observation data collected from the Georgia Tech Space Object Research Telescope.     

Satellite collision probability estimation using polynomial chaos expansions

This paper presents the application of polynomial chaos (PC) to estimating the probability of collision between two spacecraft. Common methods of quantifying this probability for conjunction assessment use either Monte Carlo analyses or include simplifying assumptions to improve tractability. A PC expansion, or PCE, provides a means for approximating the solution to a large set of stochastic ordinary differential equations, which includes orbit propagation. When compared to Monte Carlo methods, non-intrusive, i.e., sampling-based, PCE generation techniques may greatly reduce the number of orbit propagations required to approximate the possibly non-Gaussian, a posteriori probability density function. The presented PC-based method of computing collision probability requires no fundamental simplifying assumptions, and reduces the computation time compared to Monte Carlo. This paper considers two cases where the common conjunction assessment assumptions are no longer valid. The results indeed demonstrate a reduction in computation time when compared to Monte Carlo, and improved accuracy when compared to simplified techniques.     

构建农村公共文化服务体系的现状及其对策研究

加快农村公共文化服务体系建设，对为农民群众提供更多更好的精神食粮，构建和谐社会具有重大意义。为此，应牢固树立三大意识，加快构建农村公共文化服务体系。     

美国太空作战演习主要成果探析

美国凭借其太空力量优势,服从于联合作战和全球霸权战略需要,率先打造太空作战演习,全方位强化太空威慑能力。阐述了太空作战演习要素,归纳了美国近期太空作战的演习情况和主要目的,提炼了历次太空作战演习的主要成果,以期为太空力量建设提供有益的参考。     

新建财经类本科研究性教学的必要和可行性研究

基于国内外研究性教学研究与实践的现状,从市场需求、人才培养及国家政策方面论证了新建财经类本科院校开展研究性教学的必要性,从理论基础、教师素养、学生素质三个角度对新建财经类本科院校研究性教学实施的可行性进行了探讨,为新建财经类本科院校研究性教学模式的探索与实践提供了理论依据。     

航空高动态网络链路感知OLSR路由算法

针对航空高动态无人机（UAV）网络环境中节点移动速度快、网络拓扑变化快,导致网络链路稳定性差、数据到达率低和信息拥塞度高等问题,提出了一种航空高动态网络链路感知OLSR（OLSR-LA）路由算法,该算法利用接收的2个连续Hello消息的多普勒频移、能量等信号特征,计算出航空高动态无人机网络中2个相邻节点的相对速度和移动趋势,从而得出这2个节点之间链路的保持时间。根据节点MAC层接口队列长度衡量网络局部的负载程度,并利用ARIMA-WNN组合预测模型预测下一时刻节点负载的预测值,并通过Hello消息传递给邻居节点。根据链路感知情况,采用基于局部路由负载均衡（RRLB）算法避免拥塞的发生。仿真结果表明,与传统OLSR算法相比,本文提出的算法有效提高了分组交付率,降低了端到端的传输延时,增加了网络吞吐量,从而提高了整个无人机网络传输的有效性和实时性。      

基于人因工程视角的民机驾驶舱告警系统研究综述

为研究现代民机驾驶舱告警系统的发展历程及应用现状,通过文献综述,以人因工程学为视角,结合事故调查分析、国内外民机驾驶舱告警系统应用进展,了解民机驾驶舱告警系统功能、告警方式和告警类别,总结国内外驾驶舱告警系统概况,分析民机驾驶舱告警系统现存问题。基于驾驶舱告警的适航管理规章要求和机组在飞行任务中的认知需求,探究驾驶舱告警系统的设计需求。结合人因工程领域的研究进展,提出驾驶舱告警系统的改进方向和发展趋势,即民机告警系统设计的及时性和可靠性还存在一定改进空间,驾驶舱告警系统整体结构的设计必须要突出重点,注重自主化及个性化设计,必要时考虑驾驶舱触觉感知的融合,旨在为后续告警系统的总体设计及优化提供参考。     

试论强化高校德育重要性的认识

以德育人是全面推进素质教育的关键,强化以德育人的认识,迎接新形势的考验与挑战,坚持把德育放在首位,这是个人成长、国家繁荣稳定的客观要求,也是实现伟大民族复兴的迫切需要.     

民机信息资源的扩展和利用

综述了民用飞机上信息资源的扩展和利用。介绍了信息资源发展的四个阶段;概述了基本仪表信息以外的六种信息的利用和扩展状况以及新信息利用的手段。     

美国高轨天基态势感知技术发展与启示

太空是国家新边疆,太空活动是国家意志和战略意图的重要体现,是国家利益拓展的重要保障,太空安全已成为国家安全的重要组成部分.经略太空感知先行,空间态势感知是指获取和认知空间态势信息,包括空间 目标监视和空间环境监测,是进一步开展空间操控和空间对抗的基础.本文首先梳理了美国空间态势感知领域相关条令的发展历程,介绍了美国高轨...