一种用于移动Ad Hoc网络的拥塞适应路由协议

提出局部拥塞表概念,利用旁路、局部拥塞表和hello消息机制,对动态源路由(Dynamic source routingprotocol,DSR)协议进行改进,提出了拥塞适应动态源路由(Congestion adaptive dynamic source routing,CA-DSR)协议。在CA-DSR协议中,主节点利用局部拥塞表,能在第一时间感知到网络拥塞,当拥塞发生时,拥塞节点的上一节点能建立绕过拥塞节点的旁路,当数据流到达已建立旁路的节点时,被按比例分流在主路由和旁路上,实现了路由拥塞适应功能。协议利用hello消息对局部拥塞表进行有效维护。与DSR相比,CA-DSR协议中平均端到端延迟更短、数据包递交率更高、规格化路由开销更少。仿真结果已证明了CA-DSR协议的优点。     

超声速平面剪切层多模态混合扰动数值分析

对Ma_c=1.2二维空间发展超声速平面自由剪切层进行扰动模态及流动结构数值分析.使用线性稳定理论和扰动直接数值模拟方法对超声速剪切层中不同流向站位的流动剖面进行扰动参数分析和局部扰动直接数值模拟,获得了剪切层不同站位处的扰动特性.通过特定单频扰动下的直接数值模拟,在剪切层的不同区域内,无相差地促发了慢模态、混合模态和快模态等多种声涡模态,得到了特定单频扰动促发的多模态无相差不稳定波.      

Study on UAV Path Planning Approach Based on Fuzzy Virtual Force

This article proposes a novel fuzzy virtual force (FVF) method for unmanned aerial vehicle (UAV) path planning in complicated environment. An integrated mathematical model of UAV path planning based on virtual force (VF) is constructed and the corresponding optimal solving method under the given indicators is presented. Specifically, a fixed step method is developed to reduce computational cost and the reachable condition of path planning is proved. The Bayesian belief network and fuzzy logic reasoning theories are applied to setting the path planning parameters adaptively, which can reflect the battlefield situation dynamically and precisely. A new way of combining threats is proposed to solve the local minima problem completely. Simulation results prove the feasibility and usefulness of using FVF for UAV path planning. Performance comparisons between the FVF method and the A* search algorithm demonstrate that the proposed approach is fast enough to meet the real-time requirements of the online path planning problems.     

基于最佳倒易晶胞的斜采样遥感图像复原方法

遥感图像的退化受多种因素的影响。本文研究了斜采样方式下混叠、模糊、噪声对图像有效分辨率的影响,在贝叶斯框架下提出了一种基于最佳倒易晶胞的斜采样遥感图像复原方法。该方法基于高斯图像先验假设,首先根据斜采样图像获取系统参数对倒易晶胞的形状进行限制,获取混叠与噪声最小的频域覆盖,然后在Bayesian\|MAP(最大后验概率,Maximum a Posterior Probability )框架下建立耦合模型,通过迭代复原方法得到混叠、模糊、噪声最小化的图像。实验结果说明,本算法考虑了引起图像混叠的图像成像模型特性, 获得了较好的复原结果, 增强了图像分辨率。     

改进的SURF算法及其在电视制导中的应用

针对电视制导应用,提出了一种改进的SURF特征描述子目标跟踪算法。首先对SURF特征描述子的生成过程进行了改进,利用三角特征和对角特征设计了改进的SURF特征描述子,在保证区分能力的基础上提高了运算速度;基于SURF特征点匹配,设计了电视制导的匹配跟踪策略。仿真试验证明,基于改进SURF特征描述子的跟踪算法满足电视制导需求,同时运算速度达到了26f/s,比改进前提高了一倍以上,满足实时性要求。     

Moving object detection using color distribution motion enhancement and comparison

为检测无人机视频中的地面运动目标,提出了一种运动和颜色信息相结合的算法,采用前向运动历史图像来增强独立运动信息和抑制背景噪声,确保完整分割出候选运动区域;提出一种迭代的、基于局部颜色分布比对的方法,去除候选区域中的背景像素,以更准确地提取单个运动目标,算法不仅节约了计算量,还有效降低了误检和漏检的可能性．多组无人机视频的实验结果表明了所提算法的高效性和鲁棒性。     

中外合作学院课程考核改革方式调研

中外合作办学已经成为我国高等教育中独特的办学模式,教学质量监控是中外合作办学发展的重要保证。要想使中外合作办学教学质量得到保障,必须掌握所开设的课程改革情况,必须对课程改革方式进行调研,查找出目前考核方式的不足之处,及时修改课程标准,加强教学内容整合,完善项目选择,平衡理论讲授和技能考核,探索对小组学习及互评方式的改进,以便进一步建立和完善中外合作学院教学质量的内部监控体系与运行机制。     

Integrating local multi-criteria evaluation with spatially explicit uncertainty-sensitivity analysis

The conventional methods of Multi-Criteria Evaluation (MCE) fail to account for local variability in criteria values and criteria preferences, disregarding local influence in spatial decision making. Moreover, understanding the interaction between MCE model input and output has paramount importance in terms of the level of confidence in the model results and their subsequent use in decision making. This research contributes to spatial MCE methodology by articulating the presence of uncertainty included in criteria weights and extending a local MCE technique with a spatially explicit uncertainty and sensitivity analysis. The article presents a methodology for multi-criteria evaluation extended by an integrated uncertainty-sensitivity analysis and illustrates it on the example of a land prioritization model for conservation practices.     

导弹协同攻击编队自适应滑模控制器设计

Aimed at the need of formation control of missile cooperative engagement, the adaptive sliding mode control theory is introduced to solve the controller design problem of formation based on the leader follower approach. Feedback precise linearization based on differential geometry theory is used to linearize the nonlinear motion model of missile and system model with follower track errors is formulated. In traditional leader follower approach, if the leader moves too fast due to the control saturated, the followers will not be able to track the desired position to keep formation. In order to overcome the disadvantage, an idea of speed control for the leader is introduced to guarantee formation keeping. Finally, an adaptive sliding mode controller is designed to overcome the problem of control input constraints. Theoretical analysis demonstrates that tracking error asymptotically converges to zero. Simulation results show that the leader is able to follow the desired path and the controller can help every missile configure desired formation. The simulation results verify stability and robustness of the formation controllers.     

基于北斗的机载终端完好性算法仿真研究

国内外关于接收机自主完好性算法的理论研究已经成熟,但缺乏依据北斗实测数据的算法性能分析。根据北斗Ⅱ代卫星导航系统14颗星的星座状态及其公开的服务性能,结合民航非精密进近的应用需求,对机载端嵌入自主完好性算法进行仿真研究。首先通过理论仿真,分析了亚太区之内算法的可用性。其次,利用NovAtel接收机实测的北斗数据,设定不同的场景和故障类型,对算法故障检测和识别的性能进行了研究分析。通过仿真,北斗系统在亚太区之内的平均可见星个数大于7颗,平均水平保护限值小于500m,能够满足算法的要求。另通过实测研究,算法可以有效地检测并识别出异常的伪距误差（即故障卫星）。结果表明：接收机自主完好性算法适用于当前北斗Ⅱ代卫星导航系统,能够为民用航空非精密进近提供具备完好性保证的服务。