A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites

Transmission link disturbances and device failure cause global navigation satellite system (GNSS) receivers to miss observations, leading to poor accuracy in real-time kinematic (RTK) positioning. Previously described solutions for this problem are influenced by the length of the prediction period, or are unable to account for changes in receiver state because they use information from previous epochs to make predictions. We propose an algorithm for predicting double difference (DD) observations of obstructed BeiDou navigation system (BDS) GEO satellites. Our approach adopts the first-degree polynomial function for predicting missing observations. We introduce a Douglas-Peucker algorithm to judge the state of the rover receiver to reduce the impact of predictive biases. Static and kinematic experiments were carried out on BDS observations to evaluate the proposed algorithm. The results of our navigation experiment demonstrate that RTK positioning accuracy is improved from meter to decimeter level with fixed ambiguity (horizontal?<?2?cm, vertical?<?18?cm). Horizontal accuracy is improved by over 50%, and the vertical accuracies of the results of the static and kinematic experiments are increased by 47% and 27% respectively, compared with the results produced by the classical approach. Though as the baseline becomes longer, the accuracy is weakened, our predictive algorithm is an improvement over existing approaches to overcome the issue of missing data.     

Near real-time BDS GEO satellite orbit determination and maneuver analysis with reversed point positioning

The Geostationary Earth Orbit (GEO) satellite is a crucial part of the BeiDou Navigation Satellite System (BDS) constellation. However, due to various perturbation forces acting on the GEO satellite, it drifts gradually over time. Thus, frequent orbit maneuvers are required to maintain the satellite at its designed position. During the orbit maneuver and recovery periods, the orbit quality of the maneuvered satellite computed with broadcast navigation ephemeris will be significantly degraded. Furthermore, the conventional dynamic Precise Orbit Determination (POD) approach may not work well, because of a lack of publicly available satellite information for modeling the thrust forces. In this paper, a near real-time approach free of thrust forces modeling is proposed for BDS GEO satellite orbit determination and maneuver analysis based on the Reversed Point Positioning (RPP). First, the station coordinates and receiver clock offsets are estimated by GPS/BDS combined Single Point Positioning (SPP) with single-frequency phase-smoothed pseudorange observations. Then, with the fixed station coordinates and receiver clock offsets, the RPP method can be conducted to determine the GEO satellite orbits. When no orbit maneuvers occur, the proposed method can obtain orbit accuracies of 0.92, 2.74, and 8.30?m in the radial, along-track, and cross-track directions, respectively. The average orbit-only Signal-In-Space Range Error (SISRE) is 1.23?m, which is slightly poorer than that of the broadcast navigation ephemeris. Using four days of GEO maneuvered datasets, it is further demonstrated that the derived orbits can be employed to characterize the behaviors of GEO satellite maneuvers, such as the time span of the maneuver as well as the satellite thrusting accelerations. These results prove the efficiency of the proposed method for near real-time GEO satellite orbit determination during maneuvers.     

Ground-based and satellite DC-ULF electric field anomalies around Wenchuan M8.0 earthquake

The ground-based and satellite DC-ULF electric field data were analyzed around Wenchuan M8.0 earthquake on May 12, 2008 in China. The results show that ground electric field anomalies occurred at 3 stations located to the north and south of the epicenter with the amplitude of 3–100 mV/km. The change shapes and their amplitude of ground electric field anomalies are different largely due to their individual underground layer conductivity, water level and so on. The analysis of long time series illustrates that the abnormal geoelectric field started since March 2008. Onboard the DEMETER satellite, the ULF waveforms of electric field were collected and processed by wavelet transform method. The disturbances in the ionosphere were about 3–5 mV/m at a frequency band lower than 0.5 Hz. When the ground and space electric field anomalies were compared, their occurrence time and spatial distribution points are consistent with each other, including the long time anomalies from March 2008 and the short term ones 1–2 days before the Wenchuan earthquake. Finally, the coupling mechanism was discussed.     

展成法加工的弧齿锥齿轮仿切几何建模方法

提出了一种针对展成法加工的弧齿锥齿轮几何建模方法.该方法有两个步骤:(1)通过模仿弧齿锥齿轮加工中的切齿建立参考模型;(2)从参考模型上选择数据点,将这些数据点拟合为NURBS曲面,从而建立最终的实体模型.该方法中,通过模仿切削可以避免深奥的数学理论和复杂的方法,方便地在齿轮制造出来之前(设计阶段)得到复杂齿面上的数据点,并有效提高实体模型的精度.另外,最终得到的模型齿面统一由NURBS曲面函数表示,NURBS曲面连续和光滑,可为CAD/CAE广泛使用.实验表明,通过该方法能够精确建立一对弧齿锥齿轮模型,为CAD/CAE建模提供了一种可行有效的思路.     

可变参数AWGN深空信道模型特性分析及其仿真

文章在研究深空通信信道的统计特性的基础上,建立了可变参数AWGN（VPAWGN）模型来模拟深空通信信道,主要考虑噪声功率、多普勒频移和路径损耗等参数对信道特征的影响。进一步在Visual C＋＋环境下搭建VPWAGN模型,并对各参数对信道的影响进行验证。     

焊接视觉传感及自动跟踪技术的现状与发展

航空航天制造领域的焊接在材料、结构、焊接工艺方法等方面都有其特征,对焊缝自动识别与跟踪的准确性、实时性和适应性也有专门要求。基于结构光法焊缝视觉跟踪技术已经得到实际应用。焊接视觉技术未来的发展应更关注和利用工件焊接区域光学特征。探索多传感信息融合的视觉跟踪方法是航空航天制造焊接自动化的重要研究方向。     

基于MBD的航空产品首件检验关键技术研究

提出了基于MBD的航空产品首件检验方法,以实现三维数字化产品检验,在分析MBD技术应用体系的基础上,对航空首件检验标准进行研究,给出了在MBD环境下实现首件检验的关键技术,以探讨实现首件检验过程信息化、数字化的难点和关键点,为基于MBD的航空产品首件检验系统的开发与实施提供了技术支撑和方法指导。     

孔边双边凸台结构损伤容限设计及分析

本文利用有限元软件建立孔边双边凸台结构的有限元模型,根据静力分析结果确定开裂模式进行以裂纹扩展寿命为目标,凸台高宽比为变量的设计优化计算分析。研究不同凸台体积、不同孔半径下最优高宽比的变化规律。计算结果表明,存在一个最优高宽比使得凸台结构具有良好的损伤容限特性和较轻的质量,该方法具有很强的工程实用性。