组合卫星接收机中的选星算法

分析了五阶矩阵的行列式值与5颗星GDOP(Geometry Dilution of Precision)值的关系,并由此提出了一种用于双卫星星座组合接收机(如GPS(Global Position System)和BD2(BeiDou2)组合接收机)中的选星算法——组合优选法.该方法首先选出行列式绝对值最大的几种组合,然后根据需要对每种组合从其余可见星中选出几颗最优星,最后根据GDOP最小原则从这几种组合中选取最终结果.计算机仿真结果显示该方法与直接利用GDOP选星相比,95％以上的GDOP相对比值小于5％,而计算量减小40％以上.      

考虑燃料消耗均衡性的低轨通信星座在轨星座构型重构方法研究

针对低轨(low earth orbit,LEO)通信星座在轨重构问题,分析了低轨通信星座的特点,提出了4个重构指标,即全球平均覆盖率、燃料消耗均衡性、重构总时间和重构总速度增量,并分析了提高轨道高度的重构方式.采用基于分解的多目标进化算法(multiobjective evolutionary algorithm b...     

星座自主导航可视化仿真与分析系统的研制

近年来,星座自主导航技术在卫星自主导航领域越来越引起人们的关注。为更好地研究星座自主导航方法,本文从数据分析、视景仿真和导航解算三个方面论述了星座自主导航视景仿真系统的实现过程。该仿真系统采用ADO技术、OpenGL技术和MATCOM软件来分别实现数据分析模块、视景仿真模块和星座自主导航解算。实验结果表明,软件最终达到了集数据分析、视景仿真和导航解算于一体的仿真效果。     

基于粒子滤波的结构疲劳裂纹扩展动态贝叶斯推断方法

准确预测结构的疲劳裂纹扩展过程是开展飞机单机寿命监控与剩余寿命估算的基础。提出一种基于动态贝叶斯网络的结构疲劳裂纹扩展预测方法,结合疲劳裂纹扩展的先验知识与后验知识来准确地推断裂纹长度;研究粒子滤波算法中不同粒子数对动态贝叶斯网络推断精度的影响规律;通过对单孔板结构与耳片连接结构件在随机载荷谱下进行裂纹扩展研究。结果表明：动态贝叶斯网络方法可以对复杂结构的疲劳裂纹扩展进行准确预测,预测精度相对于传统方法提高50% 以上。     

基于改进POCET技术的通导一体化信号设计

随着低轨卫星组网的发展,结合我国北斗三号全球卫星导航系统的全面建成,研究兼容北斗的通信导航一体化技术日益迫切。为使卫星上的高功率放大器工作在非线性饱和区,以达到较高的发射功率效率,需要保证合成信号的恒包络特性。考虑北斗导航信号与低轨卫星通信信号频点不同,且待复用信号分量较多,以相位优化恒包络发射（POCET）技术为基础,提出了一种改进的多频点多非独立信号分量恒包络复用技术,对七路信号进行复用,利用罚函数进行目标函数优化得到最优解。通过分析其信号特性,表明该方法具有较高的复用效率,并能有效抑制非独立分量造成的波形畸变,从而实现通信导航一体化信号设计,为未来基于低轨卫星的通信导航一体化波形设计提供了思路。     

低轨对地观测卫星凝视成像仪探讨

文章介绍了典型空间信息获取方式及特点,阐述了低轨对地观测卫星凝视成像面临的问题及解决对策,对两种低轨对地观测卫星凝视成像仪及其应用进行了探讨。     

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。     

基于全球网和区域网SLR数据的低轨卫星定轨精度分析

卫星激光测距(SLR)是目前低轨卫星常用的定轨手段之一.文章以贾森-1(Jason-1)和"环境卫星"(EN VISAT)实测数据为例,讨论了不同弧段长度(1天、3天和7天)的全球网SLR数据对低轨卫星定轨精度的影响,分析了基于美国网、欧洲网和亚洲网等区域网SLR数据的低轨卫星精密定轨精度.检验定轨精度的参考轨道来自美...     

Optimal mission planning of the reconfiguration process of satellite constellations through orbital maneuvers: A novel technical framework

In this paper, a general new methodology is presented for the orbital reconfiguration of satellite constellations on the basis of Lambert targeting theorem. In view of the cost and risk reduction, it is very important to consider the problem of satellite constellation reconfiguration with the two constraints of overall mission cost minimization and the desired final configuration. Hence, the dependent non-simultaneous deployment approach is proposed to minimize overall fuel cost. Despite the fact that the satellites deploy in a non-simultaneous manner, supplementary phasing maneuvers on the target orbital pattern to achieve the desired orbital configuration are avoided. Moreover, a novel idea is presented to optimize the flight of satellites, which plays an important role in complying with the constraint of overall fuel cost minimization as much as possible. In order to achieve the global optimal solution of the satellite constellation reconfiguration problem, the efficient hybrid Particle Swarm Optimization/Genetic Algorithm (PSO/GA) technique, is implemented. Finally, to indicate the superiority of the presented method, a comparison to the simultaneous maneuver viewpoint is made on a number of representative cases. The obtained results imply significant reduction of reconfiguration costs by employing the proposed method.     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.