利用GPS非差观测值的GRACE卫星精密定轨

参照GPS精密单点定位（PPP，Precise Point Positioning）模型设计了一种新的卫星定轨方法一组合星载加速度计测量数据和IGS提供的GPS精密星历及精密钟差数据进行低轨卫星的精密定轨。利用星载加速度计提高卫星受力模型准确性，使动力法定轨精度和可靠性都得到提升。同时，采用多种改正技术提高GPS非差观测值测量精度，保证最终高精度卫星定轨。本文建立了卫星定轨的轨道滤波模型，得出了有益的结论，即采用星载加速度计测量卫星非保守力可提高卫星定轨精度，在ITRF2000参考系下三轴精度优于18cm。这种方法不需要在全球建市基准观测站．定轨设备简单．费用低廉．     

Use of principal component analysis in the identification of the spatial pattern of an ionospheric total electron content anomalies after China’s May 12, 2008, M = 7.9 Wenchuan earthquake

This paper uses principal component analysis (PCA) to determine the spatial pattern of total electron content (TEC) anomalies in the ionosphere post the China’s Wenchuan Earthquake of 12 May, 2008 (UTC) (M_w = 7.9). PCA and image processing are applied to the global ionospheric map (GIM) with transforms conducted for the time period 08:00–10:00 UT on 12 May 2008. Results show that at a height of approximately 200 km the anomaly is widespread and less intense; however, it becomes more localized with height reaching maximum intensity and localization at an altitude of 300 km. The spatial distribution is remarkably similar to that reported for a TEC anomaly previously identified as a precursor anomaly on May 9, 2008 for the same time period. Potential causes of the results are discussed with emphasis given to vertical acoustic gravity waves based on the spatial pattern identified.     

Analysis of a topside ionospheric model using GPS and ionosonde observables

Ground-based vertical incidence soundings are well suited to model the bottom-side ionosphere but are not so good for dependably modelling the topside ionosphere. This study aims to combine vertical incidence sounding and dual-frequency GPS measurements to reconstruct the topside profile. The reconstruction technique relays on the use of the so-called vary-Chap approach that use an α-Chapman function with a continuously varying scale height.     

Inter-satellite ranging and inter-satellite communication links for enhancing GNSS satellite broadcast navigation data

Recently the European Space Agency (ESA) has initiated a number of exploratory Projects, within the General Studies Programme (GSP), to analyze what potential improvements on a GNSS system navigation determination and dissemination performance could be brought by introducing inter-satellite ranging & inter-satellite communication-links. The key improvements targeted by these Projects are the enhancement of the orbit and clock prediction accuracy and the reduction of the dependency from ground infrastructure. Both projects adopted the Galileo system architecture as the initial working point.     

Adaptive Square-Root Cubature–Quadrature Kalman Particle Filter for satellite attitude determination using vector observations

A novel algorithm is presented in this study for estimation of spacecraft?s attitudes and angular rates from vector observations. In this regard, a new cubature–quadrature particle filter (CQPF) is initially developed that uses the Square-Root Cubature–Quadrature Kalman Filter (SR-CQKF) to generate the importance proposal distribution. The developed CQPF scheme avoids the basic limitation of particle filter (PF) with regards to counting the new measurements. Subsequently, CQPF is enhanced to adjust the sample size at every time step utilizing the idea of confidence intervals, thus improving the efficiency and accuracy of the newly proposed adaptive CQPF (ACQPF). In addition, application of the q-method for filter initialization has intensified the computation burden as well. The current study also applies ACQPF to the problem of attitude estimation of a low Earth orbit (LEO) satellite. For this purpose, the undertaken satellite is equipped with a three-axis magnetometer (TAM) as well as a sun sensor pack that provide noisy geomagnetic field data and Sun direction measurements, respectively. The results and performance of the proposed filter are investigated and compared with those of the extended Kalman filter (EKF) and the standard particle filter (PF) utilizing a Monte Carlo simulation. The comparison demonstrates the viability and the accuracy of the proposed nonlinear estimator.     

Robust extended Kalman filter with input estimation for maneuver tracking

This study investigates the problem of tracking a satellite performing unknown continuous maneuvers. A new method is proposed for estimating both the state and maneuver acceleration of the satellite. The estimation of the maneuver acceleration is obtained by the combination of an unbiased minimum-variance input and state estimation method and a low-pass filter. Then a threshold-based maneuver detection approach is developed to determinate the start and end time of the unknown maneuvers. During the maneuvering period, the estimation error of the maneuver acceleration is modeled as the sum of a fluctuation error and a sudden change error. A robust extended Kalman filter is developed for dealing with the acceleration estimate error and providing state estimation. Simulation results show that, compared with the Unbiased Minimum-variance Input and State Estimation (UMISE) method, the proposed method has the same position estimation accuracy, and the velocity estimation error is reduced by about 5 times during the maneuver period. Besides, the acceleration detection and estimation accuracy of the proposed method is much higher than that of the UMISE method.     

Total electron content measurements in ionospheric physics

With the advent of modern global networks of dual-frequency Global Positioning System (GPS), total electron content (TEC) measurements along slant paths connecting GPS receivers and satellites at 22,000 km have become the largest data set available to ionospheric scientists. The TEC can be calculated from the time and phase delay in the GPS signal using the GPS Toolkit, but an unknown bias will remain. In addition, UHF/VHF radio beacons on board low-Earth-orbiting satellites can also be used to measure the electron content. However, the TEC measurements are obtained by integrating TEC differences between slant paths, but also contain biases. It is often necessary to use data assimilative algorithms like the Ionospheric Data Assimilation Three-Dimensional (IDA3D), and to treat both GPS- and LEO-beacon TEC measurements as relative data in order to conduct ionospheric studies.     

一种可实现星箭分离前后测轨数据联合定轨的初轨确定方法

针对弹簧分离方式的卫星发射任务中,在星箭分离瞬间卫星获得弹簧分离力产生的速度增量,使星箭分离前后的两段外测数据不能同时参与定轨的问题,提出了一种可同时求解一个位置矢量和两个速度矢量的定轨新方法——改进的有摄初轨计算的单位矢量法,建立了相应的计算模型,构造了条件方程组的解算方法。仿真计算和任务实测数据验算表明,该方法首次实现了利用星箭分离前后处于两条不同轨道的测轨数据的联合定轨。由于延长了定轨数据弧段,有效地提高了入轨段初轨确定精度。     

一种用于实时轨道确定的NPF-SRCKF滤波算法

针对航天器实时轨道确定中建模复杂、计算量大、估计精度低的问题,设计了一种考虑地球J 2 摄动影响的基于NPF-SRCKF的实时轨道确定算法,该算法采用非线性预测滤波(NPF)对模型误差进行补偿修正,利用平方根容积卡尔曼滤波(SRCKF)算法对修正模型误差后的系统进行状态估计。针对单测站、双测站跟踪测量设计了不同的实时轨道确定算法。实验结果显示,将非线性预测滤波和平方根容积卡尔曼滤波结合在一起,运用于简化的实时轨道确定模型,能有效降低计算复杂度,改进数值运算的稳定性,提高状态估计的精度。     

基于单个长基线干涉仪的运动单站直接定位

针对以往单站无源定位系统中采用的多通道干涉仪或阵列测向系统复杂、易受通道间幅相不一致性影响等缺点,提出了一种基于信号子空间分解的运动单站单个长基线干涉仪(LBI)直接定位(DPD)方法。该方法采用量子粒子群优化(QPSO)方法获得定位初值,再利用Newton迭代方法得到精估计值。仿真结果表明:增加观测器的机动性,可对辐射源实现快速无模糊的定位;定位性能在较高信噪比(SNR)下可接近定位误差的克拉美-罗下限(CRLB),在低信噪比下优于多通道干涉仪仅测角(BO)和长基线相位差变化率定位方法。