基于LMS格型算法的自适应参数谱估计方法

研究了自适应参数谱估计的基本原理,提出了基于最小均方误差（MMSE）准则的LMS格型滤波算法实现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明,该方法能够在改善谱分辨率的同时提高运算效率,满足遥测速变信号的处理和分析计算的要求。     

A novel strong tracking cubature Kalman filter and its application in maneuvering target tracking

The fading factor exerts a significant role in the strong tracking idea. However, traditional fading factor introduction method hinders the accuracy and robustness advantages of current strong-tracking-based nonlinear filtering algorithms such as Cubature Kalman Filter (CKF) since traditional fading factor introduction method only considers the first-order Taylor expansion. To this end, a new fading factor idea is suggested and introduced into the strong tracking CKF method. The new fading factor introduction method expanded the number of fading factors from one to two with reselected introduction positions. The relationship between the two fading factors as well as the general calculation method can be derived based on Taylor expansion. Obvious superiority of the newly suggested fading factor introduction method is demonstrated according to different nonlinearity of the measurement function. Equivalent calculation method can also be established while applied to CKF. Theoretical analysis shows that the strong tracking CKF can extract the third-order term information from the residual and thus realize second-order accuracy. After optimizing the strong tracking algorithm process, a Fast Strong Tracking CKF (FSTCKF) is finally established. Two simulation examples show that the novel FSTCKF improves the robustness of traditional CKF while minimizing the algorithm time complexity under various conditions.     

Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

Based on the fuzzy expert system fault diagnosis theory, the knowledge base architecture and inference engine algorithm are put forward for avionic device fault diagnosis. The knowledge base is constructed by fault query network, of which the basic element is the test-diagnosis fault unit. Every underlying fault cause’s membership degree is calculated using fuzzy product inference algorithm, and the fault answer best selection algorithm is developed, to which the deep knowledge is applied. Using some examples, the proposed algorithm is analyzed for its capability of synthesis diagnosis and its improvement compared to greater membership degree first principle.     

基于贪婪算法的空间编目观测任务调度方法

针对空间监视任务过程中涉及的测站级编目观测任务调度问题,提出了一种基于贪婪算法的观测任务调度算法,并给出了算法可行的理论证明。在程序的功能设计上,考虑了实际中心任务对时间要求不同和测站工作等特点,并以提高设备时间利用率和中心任务完成率作为程序设计的主要目标。通过软件仿真,该算法可以给出可行的测站观测任务计划,计划中设备实际时间利用率提高到80%以上,中心任务当日完成率达到50%以上,基本满足测站日常观测需要。     

捷联系统姿态算法比较及研究

对捷联惯导系统的几种姿态解算算法和所需计算时间作了比较，提出了一种可在弹上计算机上执行的具有快速实时和滤波功能的算法，并给出了以圆锥运动学全的仿真结果。     

序列图像编码中的遗传优化块匹配算法

讨论了序列图像编码的运动估值算法。在剖析传统块匹配算法的基础上,针对其非全局最佳的缺陷,将遗传优化算法的思想应用于分层块匹配算法,提出一种遗传优化块匹配算法。算法分析和计算机模拟表明,此算法可较好地解决现有快速搜索算法中存在的非全局最小点问题,提高数据压缩效率,与穷尽搜索算法相比运算复杂程度明显减小。     

利用星敏感器的卫星姿态确定的信息滤波

针对利用星敏感器矢量测量的卫星姿态滤波的问题给出了一种矢量测量的信息滤波器。分析结果表明该滤波器可以统一的形式处理单矢量测量和多矢量测量的结果,简化了计算机程序,并且相对于经典的卡尔曼滤波器简化了计算量。仿真研究的结果验证了该滤波器应用于卫星姿态确定的可行性。     

双星定位系统的定位计算和数字地图

提出了一种沿地图上等高线分段截取数据,建立数字地图的方法。规定了数字地图分区存放的数据结构。对应这种数字地图提出了双星定位计算的方法,以北京南郊400km~2范围作数字地图进行定位计算,结果表明定位算法简单快捷,数字地图有效并可节约存贮空间。     

多星测控调度问题综述

多星测控调度问题是指对多颗卫星和地面站之间的测控任务进行调度,是一类高约束、高计算复杂度的任务资源分配问题。本文对国内外相关领域研究情况进行了探讨,从问题的模型描述、解决算法以及最终方案优化等方面,对多星测控调度问题的研究情况进行了分析和总结。在此基础上指出多星测控调度问题的发展趋势。     

矩形件排样的研究进展

从复合材料排样的需求出发,研究了矩形件排样问题.给出了矩形件排样的定义、分类，综述了国内外有关矩形件排样的各种算法，包括经典的近似算法、启发式算法及超级启发式算法和精确求解算法；并对各种算法的排样质量和效率进行比较,以期能为复合材料排样的研究提供帮助。