Implementation of tactical maneuvers with maneuver libraries

This study creates and combines the general maneuver libraries for fixed-wing aircraft to implement tactical maneuvers. First, the generalized maneuver libraries are established by analyzing the characteristics of tactical maneuvers required in battlefields. The 7th order polynomial is applied to both the creation of the maneuver libraries and the generation of the trajectories or flight paths for modal inputs. To track the desired trajectory, we design the Attitude Command Attitude Hold (ACAH) system and the Rate Command Rate Hold (RCRH) system using Model Following Controller (MFC). Moreover, the Line-of-Sight (LOS) guidance law is designed. In particular, the CONDUIT® is employed to optimize the gains so that the control systems meet the aircraft Handling Qualities (HQ) criteria. Finally, flight simulations are performed for the longitudinal loop, immelmann-turn, and climb-slalom-descent maneuvers to verify that tactical aggressive maneuvers are realizable via the combination of maneuver libraries. This study can contribute to the development of flight techniques for aircraft tactical maneuvers and to the revision of air force operational manuals.     

课表编制工作探讨

在高等教育深化改革的今天，使得课表编制工作的复杂程度越来越高。在这种新形势下，如何才能编制出科学、合理、高效、周密的课表，以达到建立优良的教学秩序和教学环境，提高教学质量的目的，这是高校教学管理工作者急需认真研究的问题。     

正确认识山农信道容量定理

山农信道容量定理公式中的信道带宽恒为信源所发出的消息信号的带宽 ,是信道带宽的理论最小极限 ;它不同于现代通信工程中传输已调制信号时所需要的信道带宽。这是本文所证明的基本结论。这一结论将限制信道容量定理的普适性和实用性。     

自适应控制方法的直接命中目标本体的平行接近制导律

本文在最少量测条件下采用视线角速度ｑ趋于零的指标函数和低阶等效辨识模型与快速自适应控制方法实现了战术导弹的平行接近制导律。这种最优制导律可以实现直接命中目标本体，实现一弹多用，可以用于反导弹的控制。能使制导装置简化并使其尺寸和重量减小，算法简单易于工程使用。经过大量数学和半实物仿真试验表明，上述成果可应用于实际工程当中。     

FY—1C卫星高分辨率云图传输技术

介绍了FY－1C星传输系统的任务、方案、主要技术指标和组成。系统采用极化隔离加带外频谱抑制的方法，达到了信道隔离的技术指标。概述了星载记录器由磁带记录器向固态记录器转变的技术因素以及磁带记录器、FLASH和DRAM固态记录器的研制过程。简述了传输系统在轨测试和运行状况。     

Families of halo orbits in the elliptic restricted three-body problem for a solar sail with reflectivity control devices

Solar sail halo orbits designed in the Sun-Earth circular restricted three-body problem (CR3BP) provide inefficient reference orbits for station-keeping since the disturbance due to the eccentricity of the Earth’s orbit has to be compensated for. This paper presents a strategy to compute families of halo orbits around the collinear artificial equilibrium points in the Sun-Earth elliptic restricted three-body problem (ER3BP) for a solar sail with reflectivity control devices (RCDs). In this non-autonomous model, periodic halo orbits only exist when their periods are equal to integer multiples of one year. Here multi-revolution halo orbits with periods equal to integer multiples of one year are constructed in the CR3BP and then used as seeds to numerically continue the halo orbits in the ER3BP. The linear stability of the orbits is analyzed which shows that the in-plane motion is unstable while the out-of-plane motion is neutrally stable and a bifurcation is identified. Finally, station-keeping is performed which shows that a reference orbit designed in the ER3BP is significantly more efficient than that designed in the CR3BP, while the addition of RCDs improve station-keeping performance and robustness to uncertainty in the sail lightness number.     

空间激光通信系统中的信道纠错编码技术

由于空间激光通信系统的信道状态和链路捕获跟踪的不确定性,多种形式的信道纠错编码技术正被广泛发展研究。结合空间激光通信链路中误码性能的主要影响因素,分别选择合适的编码方案进行分析。通过仿真实验可知,对于在大气结构参数为1.5×10~(-14) m~(-2/3)、风速为20 m/s的空地激光链路的环境下,在系统数据速率为2 Gbit/s、要求误码率为10~(-6)时,LDPC码结合交织码相对未编码系统有3 dB的等效编码增益,LT码相对未编码系统有3.8 dB的等效编码增益。提供了一种能快速生成、扩展和校验的编码和交织实现方法,以抵抗大气湍流的快速变化对系统性能产生的影响。     

基于分数阶理论的铁路基础设施形变监测数据分析与挖掘

北斗高精度定位系统因噪声等因素会产生一定范围内的随机误差,这导致传统模型难以直接对监测数据进行精准分析,因此提出基于分数阶理论的北斗监测数据分析方法,从数据整体趋势角度挖掘铁路基础设施形变演化规律。首先,给出分数阶分析方法的理论框架,并对基础理论进行详细介绍;其次,提出利用α稳定分布对原始数据进行概率密度拟合,实现数据的非高斯特性估计;再次,通过长程相关特性和多重分形特性挖掘隐藏在监测数据中的深层次趋势特征,从数据分数阶特性维度分析未来变化趋势;最后,所提分析方法应用于国内某重载铁路的基础设施形变监测,实验结果表明所提出的分析方法能够在噪声干扰下实现北斗监测数据的精准分析,能够对各组监测数据的演化规则和铁路基础设施形变程度进行精准判别。     

基于欠采样的零阶优化算法

非平衡学习吸引了许多研究者的关注。一般情况下,少数类是更值得关注的,并且其误分类代价要远高于多数类。由于非平衡数据分布的非均衡性,标准的分类算法将难以适用。为了解决非平衡数据分类问题,给出了基于欠采样的零阶优化算法。首先,为了降低数据非平衡分布的影响,针对不同非平衡比的数据集给出了不同的两种采样策略。然后,采用了一种引入间隔均值项的支持向量机(Support vector machine,SVM)优化模型进行分类,并使用带有方差减小的零阶随机梯度下降算法进行求解,提高了算法的精度。在非平衡数据上进行了对比实验,实验证明提出的方法有效提高了非平衡数据的分类效果。