基于正反Kalman滤波的动基座重力仪数据处理方法

重力数据处理是动基座重力仪的核心技术,采用了一种基于正反Kalman滤波的数据处理方法提取重力异常值.以动基座重力仪(Sea and Air Gravity,SAG)为研究对象,根据系统参数推导了Kalman滤波方程,并运用正反Kalman滤波方法处理了SAG某飞行架次的数据.将提取的重力异常值与同机搭载飞行的俄罗斯高精度重力仪GT-1A的结果进行比对,试验结果表明,两者滤波结果差值的均方根误差要小于1 mGal.     

A simple and valid analysis method for orbit anomaly detection

A simple analysis method for orbit anomaly detection, called semi-major axis change method (SACM) was presented by using a relationship between the change of orbit parameters and velocity increments. In this method, the mean value and standard deviation of the semi-major axis change in different time intervals were first calculated according to historical data. Then, these two parameters, the mean value and standard deviation of the semi-major axis change, are chosen as basis variables and combined as an anomalous criterion. For orbit objects with different characteristic, anomalous thresholds were given in different time intervals for identifying the anomalies of the orbital objects. Finally, this method is used for low earth orbit (LEO) satellites and American–Russian breakup debris. By adopting this method, the characteristics of the orbit change were given. The accuracy rate of anomaly analysis for LEO satellites and American–Russian breakup debris can reach to 100%, which demonstrates that the method was rapid and valid.     

基于Web的PDM中数据挖掘与统计实现技术

介绍一种从PDM系统的海量数据中挖掘航天材料表面性能分布规律的方法,采用ASP嵌入VB控件技术,实现基于Web的数据统计,并形成统计图,可用于网络化制造的远程管理与决策。     

重力异常特征提取方法研究

将主元分析和独立分量分析相结合应用于重力异常信号的特征提取.采用主元分析对测量数据进行去相关和降维预处理,再利用独立分量分析算法提取重力信号的特征系数.结合重力异常变化与特征系数的关系,提出了应用特征量化参数表征重力异常信号变化程度的方法.基于实测的重力异常信号进行了仿真试验,试验结果表明,本文提出的特征量化参数能有效的反映重力异常的幅值变化程度.     

三轴惯性平台式航空重力仪机载重力测量试验研究

介绍了自主研制的GIPS-1A三轴惯性平台式航空重力仪的组成、工作流程及技术指标,并给出了机载重力测量试验系统的集成方法和数据处理方法.经实际机载航空重力重复线精度测试和试生产测试,重复线内符合精度优于0.6mGal@0.01Hz;与国际上性能优异的GT-2A重力仪相比,重复线符合度好,试生产交叉点总精度相当,且异常形...     

捷联式重力仪在海洋测量中的应用与数据处理

针对海洋重力测量对重力测量系统的要求,给出了一种捷联式海洋重力仪SAG-2M,论述了系统组成、工作原理、特点和数据处理流程。利用近期获得的某海域重力测量数据,评估了捷联式重力仪精度。测量结果表明,重复测线的重力异常曲线吻合度较高,交叉点不符值精度约为1.2mGal,满足海洋重力测量的指标要求。     

航空磁探中水下目标三维积分方程磁场建模

为获取航空磁探中水下铁磁性目标的空间磁场分布,通过三维积分方程法的基本原理推导出空间磁场的解析式,根据矢量恒等式和高斯散度定理简化空间磁场计算式,建立水下铁磁性目标空间磁场预测模型。通过铁磁性长方体对模型进行理论验证,使用铯光泵磁力仪测量铁磁性长旋转椭球体的高空磁场;然后,基于预测模型推算铁磁性长旋转椭球体的磁场,根据实际测量的磁场数据和预测值进行比较。结果表明,预测模型的推算精度较高,平均绝对误差为0.320 5 nT,平均相对误差为12.368%。     

A different view of the ionospheric winter anomaly

The Winter Anomaly (WA) is an ionospheric phenomenon, particularly related to the F2-layer, that is classically defined as the situation in which the ionization level during winter is higher than during summer for a certain location. This situation is anomalous because it contradicts what would be naturally expected with summer’s ionization levels higher than winter ones. This phenomenon has been a matter of study since the early decades of the XX century.This contribution tackles the study of the WA based on long time series (up to two solar cycles) of Total Electron Content (TEC) measurements over a globally distributed network of stations. The work done relies on a threefold strategy including: a classical approach based on the comparison of the winter and summer maximum TEC values, that confirmed the results previously documented; an intermediate approach with maximum TEC values modelled as linear functions of the solar radiation level, that allowed to identify stations where the WA is likely to be observed (and at what solar radiation level) and where is not; a final original approach where the maximum TEC values are modelled using Chapman’s function for the seasonal variations, linear regressions for the solar activity dependence and the introduction of site and month dependent equivalent ionization coefficients for the remaining effects. The main conclusions are that the coefficients for winter months seem to depend mainly on geomagnetic latitude, to increase towards high latitudes and to be asymmetric between hemisphere. In accordance to these findings, the occurrences of WA effects would be regulated by proper combinations of these three effects.     

Practical method to identify orbital anomaly as spacecraft breakup in the geostationary region

Identifying spacecraft breakup events is an essential issue for better understanding of the current orbital debris environment. This paper proposes an observation planning approach to identify an orbital anomaly, which appears as a significant discontinuity in archived orbital history, as a spacecraft breakup. The proposed approach is applicable to orbital anomalies in the geostationary region. The proposed approach selects a spacecraft that experienced an orbital anomaly, and then predicts trajectories of possible fragments of the spacecraft at an observation epoch. This paper theoretically demonstrates that observation planning for the possible fragments can be conducted. To do this, long-term behaviors of the possible fragments are evaluated. It is concluded that intersections of their trajectories will converge into several corresponding regions in the celestial sphere even if the breakup epoch is not specified and it has uncertainty of the order of several weeks.     

Variation of monthly mean foF2 and hmF2 over a mid latitude station during the period 1997–2006

Ionosonde data of a mid latitude station Novosibirsk (Geog. Lat. 54.6°N, Geog. Long. 83.2°E) has been analyzed for the years 1997–2006 that covers the major part of solar cycle 23. Our results show the presence of winter anomaly in the daytime F2 layer critical frequency during different phases of solar activity. Results also reveal a semiannual variation of foF₂ with two maxima and a minimum that always appears in summer. While the first maximum is in the spring equinox, the second one is found to shift from autumn to winter with the increase of solar activity. The maximum height of F2 layer during the daytime shows variation with the solar activity. It is higher during the higher activity periods and lower during the periods of low activity. Results of ionosonde observations have been compared with those obtained from IRI-2007 model and it is found that model reproduces gross features of foF₂ variation. However, the modeled hmF₂ variations during equinoxes are significantly different from the ones derived using the ionosonde data. The model also underestimates the hmF₂ values.