自修复飞控系统仿真平台研制

采用ＳＩＭＵＬＩＮＫ这种可视化、模块化和一体化的动态系统仿真软件，并与ＭＡＴＬＡＢ软件工具箱相结合，开发出自修复飞控系统仿真平台，解决了飞机的气动参数随飞行状态变化的问题，实现了飞机的全面运动仿真。该系统可根据自修复飞控系统的需要，进行飞机故障的加载，以及对故障进行检测、隔离和估计，然后完成飞行重构，具备完整的自修复飞控系统仿真功能。     

双组元推进剂质谱检测实验研究

推进剂泄漏检测技术是关系到航天器正常运行和安全发射的关键技术之一。采用燃烧剂，氧化剂的双组元推进剂是航天器推进系统的经常选用的燃料。质谱检测的技术具有同时检测环境中这两种微量成分而不相互干扰的优点，文章简述了双组元推进剂的质谱检测装置，给出对是，四氧化二氮的质谱实验研究方法及检测结果。     

喷管复合材料扩张段的阵地超声探伤研究

研究了用超声干耦合单面检测方法对固体发动机喷管复合材料扩张段进行阵地探伤的可行性和判伤标准，探讨了方法对扩张段的探测能力及检测试验件的最佳检测工艺条件，并给出了实验结果。     

基于超像素与多尺度残差U-Net相结合的遥感图像飞机检测方法

遥感图像中存在飞机很小、角度和位置不确定且背景复杂等问题,从遥感图像中检测飞机是一项重要且具有挑战性的任务,因此,提出一种基于超像素与多尺度残差U-Net(Multi-scale Residual U-Net,MSRU-Net)相结合的遥感图像飞机检测方法。首先对遥感图像进行超像素预分割,将位置相邻且像素特征相似的像素点组成若干个超像素,保持图像进一步分割的有效特征;然后构建多尺度残差U-Net,学习其多尺度判别特征。与传统的飞机检测方法相比,该方法用少量的超像素代替大量像素表达图像特征,降低了图像分割的复杂度,再利用MSRU-Net分割遥感超像素图像,有效检测不同尺度的飞机图像。在公共飞机遥感图像数据集上实验,结果表明,该方法能够有效的检测遥感图像不同尺度的飞机图像,检测精确率达到91.2 %。     

分数阶混沌系统同步控制研究进展

分数阶混沌系统由于其复杂的混沌吸引子和独有的记忆特性,非常适合保密通信领域的应用。在介绍分数阶混沌系统混沌特性的基础上,重点综述了近年来分数阶混沌系统同步的研究进展,包括分数阶混沌系统模型、分数阶系统算法、分数阶混沌同步控制方法等;总结了分数阶混沌系统同步在理论和应用方面的研究现状;提出了分数阶混沌系统同步还有待进一步研究的若干方向和内容。     

天/地基多平台空间目标光电观测时效性分析

针对如何部署光学探测设备才能更好实现对空间目标的高精度高频度监视问题,考虑光照条件、相对关系及探测性能,构建了天/地基空间目标探测与成像仿真模型;按照轨道特征选取了94颗LEO（Low Earth Orbit,低地球轨道）卫星、63颗GEO（Geosynchronous Earth Orbit,地球同步轨道）卫星和18颗大椭圆轨道卫星,选用春夏秋冬典型季节的特定时间长度,仿真分析了国内地基、南北极科考站、LEO卫星、准GEO卫星等多平台光电手段的位置探测和成像观测能力;比对分析地基平台纬度和季节、天基平台轨道高度和倾角对探测能力的影响得出：南北极科考站相比于国内站点可提高重点季节的探测时效性,98°倾角LEO平台对低轨目标成像时效性方面更具优势,等.在此基础上,提出了我国空间目标光电观测设备天地一体的布局构想.     

Automatic extraction of lineaments based on wavelet edge detection and aided tracking by hillshade

Lineaments refer to the linear or curvilinear textures on remote sensing image, whose general spatial distribution characteristics are often the response of deep geological sturcture at the surface. Firstly, we use wavelet modulus maximum transformation to detect the edges with 4 scales on Landsat – 8 OLI B5 image and analyze their multi-scale characteristics. As the result, it is determined that the optimal scale of edge detection is 4, and the outline that consist of the edge pixels is roughly corresponding to the geological structure of mine area. Thus the incomplete lineaments have been extracted by using the 2D otsu algorithm. Secondly, the hillshade map generated based on DEM is processed to generate binarized linear shadow. Finally, the linear shadow is superimposed on the lineaments preliminarily extracted to obtain the optimized lineaments. Experiment results show that, based on the method, there are some deformation and displacement between the lineaments extracted and the actual geological structure, and it fail to effectively extract Qilinchang Fault, but lineaments are in good correspondence with Kuangshanchang Fault, Dongtou Fault and Niulan River Fault, which are basically in accord with the geological structure framework of the mine area.     

天籁射电阵的空间碎片探测性能分析

提出以曲靖非相干散射雷达作为一种可能的发射源与天籁射电阵组成一套双基地雷达空间碎片探测系统，对该系统的空间碎片探测性能进行计算与仿真分析，包括可探测目标雷达散射截面积(RCS)、天籁射电阵对空间目标与碎片探测时间、探测效率等。分析表明，该系统具有探测直径10 cm以下级空间小碎片的潜力，并在最后提出了一种基于该系统的交叉波束的确定方法及对空间碎片定位的方法。     

PCE方法在空间实验室轨道预报误差分析中的应用

应用多项式混沌展开法(PCE)进行空间实验室轨道预报误差分析。通过构建PCE模型对轨道预报的不确定性传播过程进行近似，进而对轨道预报后航天器位置和速度的误差进行分析。分析了不同PCE模型阶数、预报时长以及样本点的数目对构建PCE模型的影响。综合考虑精度和计算效率，给出了适用于空间实验室轨道预报误差分析的PCE模型。将PCE方法与传统方法进行对比，结果表明PCE方法有较好的非线性近似能力，且计算效率高，验证了PCE方法应用于空间实验室轨道预报误差分析的有效性。     

Sensor-fault tolerant attitude determination using two-stage estimator

Satellite attitude determination accuracy significantly drops when sensor-fault occurs. Hence, a proper mitigation strategy to detect sensor-fault and accurately estimate corresponding fault magnitudes is mandatory for robust and accurate attitude determination. In this paper, a novel sensor-fault tolerant precise attitude estimator is proposed consisting of two stages. In the first stage, sensor-fault is detected, and the associated sensor parameter change is roughly estimated using an interacting multiple-model (IMM) approach. Subsequently, the second stage is triggered. The sensor parameter change is precisely estimated with a new sensor-parameter-augmented filter. This is defined as a selectively augmented extended Kalman filter (SAEKF) in this paper. The conventional augmented extended Kalman filter (AEKF) is computationally more expensive than the proposed SAEKF. The SAEKF augments only the sensor parameters affected by sensor-faults, not the full sensor parameters, into the state vector. This leads to a significant computational time-saving. A transition method from the first stage to the second stage is also investigated. Numerical simulation results demonstrate that the proposed two-stage approach has smaller attitude determination errors than the existing algorithms, ranged from 21.7% to 88.8%, in cases with gyro scale factor error or misalignment.