单站多普勒跟踪定轨的优化算法

由于低轨道小卫星应用的日益广泛，在轨卫星数目的迅速膨胀，对传统的多个地面站相互协调管理卫星领域模式提出了挑战。小卫星的低成本特性必然要求存在与之相应的地面站设施降低复杂性、降低成本。本文针对当前已提出的单站多普勒定轨方案，进一步研究了多普勒定轨的有关方法，提出和建立了多普勒定轨的优化算法与模型，最后进行了仿真分析与模型的有效性验证。     

太阳同步卫星的轨道设计

在轨道六要素的基础上，分析了卫星太阳同步轨道设计时降(升)交点地方时、升交点赤经，以及冻结轨道参数等的确定方法。并给出了在轨道交点周期、回归圈数、回归周期、重复周期和其他因素等约束条件下的轨道设计要点。最后给出了一个轨道高度750～800km，卫星太阳同步轨道、冻结轨道和回归轨道的算例。     

利用小波分析识别空间目标的轨道机动

空间目标的轨道机动是与机械能的变化联系在一起的。机械能无法直接测量，只能通过空间目标的位置与速度计算。通过地面雷达可以得到空间目标的测距与测角信息，可以将其转为位置信息。空间目标的速度也不易直接测量，需要根据位置信息，通过微分平滑处理获得。由于测量噪声的影响，机动引起的机械能的变化淹没在噪声中，不容易识别。小波分析可以在一定程度上将淹没在噪声中的机械能变化揭示出来，提高轨道机动的识别能力。利用二进小波在不同尺度下分析机械能随时间的变化，尺度由小至大时真实信号含量增加，噪声含量受到抑制。观察小波系数曲线随小波分析尺度的变化趋势就可以快速判定是否存在轨道机动。仿真结果验证了识别方法的可行性。     

星座与星座轨道控制技术

以目前仍在轨运行中的低轨道铱星星座 (IridiumConstellation)、全球第一个双向移动卫星通信星座 (ORBCOMM)和高轨道全球定位系统 (GPS)导航星座为背景 ,深入分析国外应用卫星星座的轨道控制技术 ,系统总结星座的飞控方案、星座轨道控制和测控策略。最后作者试图对目前正在研讨中的三星时差定位星座和中巴资源卫星 (CBERS)星座的测控技术谈一点设想。     

无动力自动着陆轨道的鲁棒性分析

文中定义了能量梯度的概念,作为评价能量积累和消耗能力的指标。针对跨大气层飞行器对象特性的特点,重点讨论了气动参数的不确定性存在时的着陆点性能、整个下滑轨道容许的气动参数的不确定性范围和对初始动压的抑制能力,结果表明下滑轨道具有较好的鲁棒性。     

多级航天器在有限推力情况下的最优变轨问题探讨

与航天运载器类似,航天器也可以有单级与多级之分。一个多级航天器是由几个具有动力装置的航天器经串联而成的组合体。本文研究这类航天器的最优变轨问题。多级航天器在有限推力情况下的最优变轨问题,实质上属于多级最优控制问题。本文应用多级最优控制问题的求解原理,讨论有限推力情况下,两级航天器在两共面圆轨道之间的两类最优转移问题,给出了确定最优推力程序和最优转移轨迹的定解方程和定解条件,特别考察了级间分离时刻应满足的条件。本文给出的原理同样适用于非圆形、非共面轨道之间的最优转移问题。     

升交点赤经与轨道倾角对地球同步卫星地影的影响

为精确预报地球同步卫星地影，根据其发生原理用仿真分析法研究了升交点赤经和轨道倾角两个因素对地影的影响，给出了地影延续时间和最长日期变化等天数曲线。在实际的同步卫星长期管理中运用这些规律，取得了良好的效果。     

Galileo real-time orbit determination with multi-frequency raw observations

Real-time GNSS-based applications require corresponding real-time orbit products. While traditional GNSS orbits are generated with the dual-frequency IF (Ionosphere-Free) model, the increase of multi-frequency signal satellites brings new challenges for the data processing. Therefore, real-time orbit determination with the multi-frequency UC (Uncombined) model is introduced in this study considering its flexibility. With the derived mathematical model conforming to IGS (International GNSS Service) dual-frequency clock definition and one-week triple-frequency Galileo observation data from 90 IGS network stations, the convergence and accuracy of real-time orbits is assessed and the characteristics of satellite IFCB (Inter-Frequency Clock Bias) are analyzed. Results indicate that the model differences, including dual-frequency IF model, dual-frequency UC model and triple-frequency UC model, contribute to only cm-level differences with CODE (Center for Orbit Determination in Europe) final orbits after a convergence time of around 12 h. The constellation-mean RMS (Root Mean Square) differences of the converged real-time orbits with the CODE final orbits reaches about 5.0 cm, 7.0 cm and 5.0 cm for the radial, tangential and normal directions. The convergence of satellite IFCB is much faster than that of satellite orbit, which reflects a loose correlation between these two parameters. While the Galileo satellite IFCB are temporally stable, the modeling of satellite IFCB may be unreliable when over constrained and becomes even more unstable with commonly encountered datum changes. In summary, real-time GNSS orbit determination with multi-frequency raw observations is feasible and extendable with proper treatment of IFCB.     

ESA’s process for the identification and assessment of high-risk conjunction events

ESA’s Space Debris Office provides an operational service for the assessment of collision risks of ESA satellites. Currently, the ENVISAT and ERS-2 missions in low Earth orbits are covered by this service. If an upcoming high-risk conjunction event is predicted based on analysis of Two-Line Element (TLE) data from the US Space Surveillance Network, then independent tracking data of the potential high-risk conjunction object are acquired to improve the knowledge of its orbit. This improved knowledge and the associated small error covariances derived from the orbit determination process scale down the position error ellipsoid at the conjunction epoch. Hence, for the same miss-distance, in most cases an avoidance manoeuvre can be suppressed with an acceptable residual risk.