基于序列图象的三维刚体运动估计研究进展

序列图象运动估计是动态场景分析的基础,它主要研究如何从变化场景的一系列不同时刻的图象中,提取出有关场景中物体的位置、运动和结构等信息。在综述了基于序列图象运动分析的传统方法及其技术特点和存在的问题后,分析了基于序列图象的三维刚体运动估计研究的发展趋势。     

航空发动机客户需求与技术措施重要度量化评估应用研究

现有的民用航空发动机客户需求重要度的量化评估方法不符合民用航空发展稳中求进的需要。采用Kano 模型和质量功能展开（QFD）方法，提出一种客户需求技术措施重要度量化评估改进算法与技术措施重要度量化评估方法，增加客户需求重要度调整系数中基本型需求的比重，将客户需求进行重要度量化评估并转化为可量化的发动机产品和服务的技术措施，完成技术措施的优先级排序；给出民用航空发动机运行支持体系、换发设备开发的应用案例。结果表明：客户需求重要度量化评估改进算法与技术措施重要度量化评估方法能够在发动机产品和服务研制过程中更加科学有效地进行资源分配与决策，提升产品市场竞争力。     

指数法在反舰导弹武器作战能力评估中的应用

指数法是一种定量评价事物属性的方法，文中分析了影响反舰导弹武器系统的能力层次结构，并在此基础上介绍了运用指数法评估反舰导弹武器作战能力的方法。     

一种可靠性增长试验抽样数Max-Min准则的反馈修正方法

对成败型航空发动机部件可靠性增长试验抽样数的确定问题进行了研究。推导出了初始故障数服从典型离散分布时的最小化最大准则(Max-Min准则),提出了一种逐次抽样样本估计值反馈修正方法。最后给出了一个应用实例,验证了该方法的有效性。     

Distributed satellite autonomous navigation using X-ray pulsars

Distributed X-ray pulsar-based navigation (DXNAV) is an effective method to realize earth-orbit satellite positioning under weak pulsar signal conditions. In this paper, we propose a new DXNAV method based on multiple information fusion. The DXNAV system principle and the pulse phase estimate Cramér-Rao lower bound are deduced. To suppress the calculation complexity and the error source, the X-ray pulsar photon time-of-arrival detected by each satellite is equivalently converted to the leading satellite directly using the inter-satellite link ranging and starlight angular distance measurement. A high precision estimate model of the pulse phase is built using pulsar standard profile, observed profile, and star-geocentric angular distance from distributed satellites. The estimated pulse phase is real-time supplied to the navigation system, which is established in the form of a deviation equation. The two-stage Kalman filter is designed to estimate the pulse phase in profile histogram bin step and the leader position in real-time step. Compared separately with the maximum likelihood phase estimate method and the celestial navigation method using only the star-geocentric angular distance, the simulation analysis shows that the estimation precisions of position and velocity are improved by 29% and 25%.     

A novel adaptive lateral reentry guidance algorithm with complex distributed no-fly zones constraints

Aimed at complex distributed no-fly zones avoidance problems, a novel adaptive lateral reentry guidance algorithm is proposed. Firstly, by introducing the improved attractive and repulsive potential fields, an improved artificial potential field method is developed. Combined with the proposed judgment criterion for whether a no-fly zone has been avoided, the proposed improved artificial potential field method effectively solves the reference heading angle determination problem under the constrai...