Impact of the orbital eccentricity on the attitude performance before and after the deorbiting phase for Alsat-1

Due to the presence of periodic forcing terms in the gravity gradient torque, orbit eccentricity may produce large response for the roll, yaw and pitch angles. This paper investigates the influence of the orbit eccentricity on the performance of the attitude determination and control subsystem (ADCS) pointing of passive Low Earth Orbit (LEO) satellites stabilized by a gravity gradient boom or having long appendages before and after the deorbiting operation. The contribution of this work is twofold. First, the satellite attitude dynamics and kinematics are modeled by introducing the orbit eccentricity in the equations of motion of a LEO satellite in order to provide the best scenario in which satellite operators can keep the nominal functionality of LEO satellites with a gravity gradient boom after the deorbiting operation. Second, a Quaternion-based Extended Kalman Filter (EKF) is analyzed when the orbit eccentricity is considered in order to determine the influence of this disturbance on the convergence and stability of the filter. The simulations in this work are based on the true parameters of Alsat-1 which is a typical LEO satellite stabilized by a gravity gradient boom. The results show that the orbit eccentricity has a big influence on the pointing system accuracy causing micro-vibrations that affect the geocentric pointing particularly after the deorbiting phase. In this case, satellites have no orbital correction option. The Quaternion-based Extended Kalman Filter analyzed in this paper, achieved satisfactory results for eccentricity values less than 0.4 with respect to pointing system accuracy. However, singularities were observed for eccentricity values greater than 0.4.     

Multi-rover navigation on the lunar surface

The paper presents a method of determination an accurate position of a target (rover, immobile sensor, astronaut) on surface of the Moon or other celestial body devoid of navigation infrastructure (like Global Positioning System), by using a group of self-calibrating rovers, which serves as mobile reference points. The rovers are equipped with low-precision clocks synchronized by external broadcasting signal, to measure the moments of receiving radio signals sent by localized target. Based on the registered times, distances between transmitter and receivers installed on beacons are calculated. Each rover determines and corrects its own absolute position and orientation by using odometry navigation and measurements of relative distances and angles to other mobile reference points. Accuracy of navigation has been improved by the use of a calibration algorithm based on the extended Kalman filter, which uses internal encoder readings as inputs and relative measurements of distances and orientations between beacons as feedback information. The key idea in obtaining reliable values of absolute position and orientation of beacons is to first calibrate one of the rovers, using the remaining ones as reference points and then allow the whole group to move together and calibrate all the rovers in-motion. We consider a number of cases, in which basic modeling parameters such as terrain roughness, formation size and shape as well as availability of distance and angle measurements are varied.     

基于半参数建模的弹道目标实时滤波

设计弹道目标的实时跟踪滤波器时,精确的动态建模和测量系统误差自校准是提高滤波精度的重要手段。基于补偿最小二乘原理和Tikhonov正则化定理,将难于参数化的复杂运动成分和测量系统误差表示为非参数分量,建立了基于半参数化建模的弹道递推模型和实时滤波算法,并详细设计了半参数建模时所需的光滑因子、正则化矩阵和窗口宽度等建模参数的在线选取方法。仿真实验和实际数据的计算结果表明,非参数成分可以有效地补偿状态模型误差,且可在线校准测量系统误差,显著改善弹道估计精度。算法已初步应用于实际飞行任务,其中的递推建模方法和参数选择策略对其它实时滤波器的设计同样有参考价值。     

数字信道化接收机结构分析及应用

推导了可直接应用于AD采样数据的高效数字信道化接收机的通用结构,并对抽取因子对信道化输出结果的影响进行了理论分析,得出信道化接收机在不同环境下应用的约束条件。理论分析和仿真结果表明：当信道个数与抽取因子相等时,可实现最小硬件开销的频域无盲区、无混叠的数字信道化接收机。     

大型空间模拟器方舱门制造工艺制定与实施

方舱门是用于载人试验时,供航天员和救生员的进出通道,要求开启方便迅速,其结构有特殊性,在进行加工制造时采用了一些特殊的工艺.文章介绍了方舱门加工制造过程中的工艺制定以及实施情况.     

卫星编队飞行相对轨道的确定

卫星之间相对轨道的确定对于多颗卫星编队飞行的控制和任务是十分重要的。结合空间圆形的编队飞行星座，本文给出了描述卫星近距离运动的C-W方程，讨论了空间圆形的编队卫星星座的构成，进而设定了利用激光仪测量星间位置矢量，并设计了Kalman滤波器来实现相对轨道的确定，分析和仿真结果表明，Kalman滤波器能够有效提高相对位置确定精度并给出相对速度的高精度估计。     

旋转目标微波成象中的旁瓣抑制研究

本文首先引出了微波成象中的旁瓣抑制问题,介绍了这领域中前人已得到的结论。接着阐述了传统傅里叶谱分析中的窗函数不能用于旋转目标成象的原因,提出了变迹滤波器的求解方法。最后通过计算机仿真给出了不同相对带宽条件下低旁瓣特性和再现图象,结果是满意的。     

一种新型高选择性微带带通滤波器设计

介绍了一种通过在微带开环谐振滤波器中引入交叉耦合,产生一对传输极点,从而提高通带选择性的滤波器设计方法。讨论了这种滤波器的综合方法和实现流程。实际设计了一个六阶开环谐振滤波器,并给出了全波仿真结果。分析和仿真都表明这种滤波器具有体积紧凑、选择性高的优点。     

基于UKF的异类传感器集中式融合算法

综合考虑航天器跟踪测量中速度和精度的要求,对异类传感器集中式融合问题进行了研究,提出了基于无迹卡尔曼滤波(UKF,Unscented Kalman Filter)和简化的分类数据压缩技术的非线性系统实时集中式融合算法.仿真表明新的算法融合性能优于基于扩展卡尔曼滤波(EKF,Extended Kalman Filter)和扩维技术的并行集中式融合算法.     

时频信号的非参数加窗稀疏协方差迭代分析法

针对多分量非平稳时频信号的分析，提出了一种非参数加窗稀疏协方差迭代分析（Sparse Iterative Covariance-based Estimation，SPICE）法。该方法通过引入局部化的窗函数，并在窗内对信号建立非参数化的时频模型，以获取非平稳信号的局部时频特性。分析表明：给出的非参数时频模型，可通过加权最小二乘（Weighted Least Square，WLS）进行求解。当将WLS的加权矩阵的构建问题转换为广义噪声协方差矩阵时，提出的模型也可借助于加窗SPICE方法来进行求解。分析和仿真均表明：与传统方法相比，提出方法具有噪声抑制能力强、能量集中度高和对于载频差异较小信号的分离效果佳等优点。