隐身巡航导弹及其探测技术研究

隐身巡航导弹的出现对现有的攻防对抗体系提出了挑战,如何防御隐身巡航导弹已成为当前的热点技术之一。讨论了巡航导弹的隐身技术、目标特性及对其进行探测的技术。     

基于最大值投影的运动点目标检测算法及其性能

针对低信噪比序列图像中微弱点状运动目标检测,提出了一种基于最大值投影构造组合帧图像与帧序号图像的检测算法,给出了算法的计算步骤。用建立的检测率和虚警率的分析模型,讨论了检测率、虚警率、信噪比、构造组合帧的图像帧数间的关系。仿真结果表明,通过合理选择组合帧数,该算法可有效检测出低信噪比条件下图像序列中的运动点目标和交叉运动的多点目标。     

对空间目标成像的伴随小卫星系统设计

对空间目标（神舟七号飞船）动态成像的伴随卫星系统的有关技术条 件和参数进行了分析和设计。设计双焦距光学系统适应大纵深范围成像,利用偏置动量稳定 减小释放后初始姿态扰动度,配合章动特点扩大观测视场,采用姿态导引律实现对观测 目标 的姿态指向跟踪,并给出满足清晰观测的相机参数设计。该卫星系统设计成功应用于神舟七 号载人飞行任务,并成功完成了首次对飞船在轨运行的全景照相观测,在轨试验结果表明伴 星系统各项技术条件和参数的设计是合理的,可以很好的完成对目标的清晰成像。
     

深空背景下运动点目标探测距离模型研究

红外相机探测运动点目标时,探测能力主要指标为探测距离,而影响探测距离的因素很多,如光学系统工作温度、红外探测器像元尺寸、目标特性等。文章从红外相机点源目标探测基本理论出发,建立了运动点目标红外相机探测距离估算模型,分析了影响探测距离的各相关因素,为深空背景下运动点目标红外相机的指标设计提供理论参考。     

某目标飞行器真空热试验操作平台设计

为了保证某目标飞行器在真空模拟设备顺利进行各种附件的装配、线路的连接以及吊装等操作,需要设计操作平台。文章详细介绍了该操作平台的设计。与技术要求的对比结果表明,该平台的主体结构合理,满足某目标飞行器热平衡试验要求。     

基于约束满足的多星对区域目标观测活动协同

多星对区域目标观测活动的协同问题是卫星任务规划与调度领域的新问题。讨论了采用多星协同模式观测区域目标的必要性，描述了协同问题的研究内容。基于约束满足理论，建立了多星协同问题的约束优化问题模型，提出了一种禁忌算法与约束传播相结合的求解机制。最后，以仿真算例验证了模型与算法的正确性和优化性能。     

非合作目标自主交会对接的椭圆蔓叶线势函数制导

针对非合作式航天器自主交会对接任务的安全性要求,提出了一种基于椭圆蔓叶线的人工势函数制导方法。首先根据视线坐标系建立了相对动力学方程与状态方程。进而应用人工势函数制导方法解决了非合作目标航天器自主交会对接与静态障碍物躲避问题,并且把势函数方法与椭圆蔓叶线函数相结合,解决了追踪航天器在接近目标航天器时运行在安全走廊中的安全性要求。应用Lyapunov稳定性理论证明了在所提出的制导方法控制下系统的稳定性。最后,用精确的数学模型进行了计算机数值仿真,验证了所提出的制导控制方法的正确性和有效性。
     

MD-GBR雷达对弹道导弹目标识别

以评估美国国家导弹防御(NMD)系统雷达识别能力为背景,分析了空间目标典型特征和中段弹道导弹目标特性,提出了地基雷达识别弹道导弹目标的技术途径.根据弹道导弹目标群在飞行中段表现出的特性,提出了涉及目标结构特性、姿态特性以及极化特性的综合识别策略,并初步分析了各种识别措施的可行性.     

Track Association for Dynamic Target Tracking System Based on AP Algorithm

Track association of multi-target has been recognized as one of the key technologies in distributed multiple-sensor data fusion system,and its accuracy directly impacts on the performance of the whole tracking system.A multi-sensor data association is proposed based on aftinity propagation(AP)algorithm.The proposed method needs an initial similarity,a distance between any two points,as a parameter,therefore,the similarity matrix is calculated by track position,velocity and azimuth of track data.The approach can automatically obtain the optimal classification of uncertain target based on clustering validity index.Furthermore,the same kind of data are fused based on the variance of measured data and the fusion result can be taken as a new measured data of the target.Finally,the measured data are classified to a certain target based on the nearest neighbor ideas and its characteristics,then filtering and target tracking are conducted.The experimental results show that the proposed method can effectively achieve multi-sensor and multi-target track association.     

Motion-planning and pose-tracking based rendezvous and docking with a tumbling target

Rendezvous and docking (RVD) with a tumbling target is challenging. In this paper, a novel control scheme based on motion planning and pose (position and attitude) tracking is proposed to solve the pose control of a chaser docking with a tumbling target in the phase of close range rendezvous. Firstly, the current desired motion of the chaser is planned according to the motion of the target. In planning the desired motion, the “approach path constraint” is considered to avoid collisions between the chaser and the target, and the “field-of-view constraint” is considered to make sure the vision sensors on the chaser to obtain tight relative pose knowledge of the target with respect to the chaser. Then, the difference between the chaser’s motion and the desired motion is gradually reduced by a pose tracking controller. This controller is based on the non-singular terminal sliding mode (NTSM) method to make the tracking error converge to zero in finite time. Since the chaser nearly moves along the desired motion and the motion is reasonable, (1) it could safely arrive at the docking port of the target with a suitable relative attitude, (2) it will be always suitably oriented to observe the target well, and (3) the magnitude of the needed control inputs are less than that in existing literatures. The numerical results demonstrate the above three advantages of the proposed method.