GPS定时校频应用技术的基础研究

针对利用GPS进行定时校频技术开展了一系列的应用基础研究,包括GPS定时校频的方法及其不确定度、定时校频数据的处理等。在给出实验结果的同时,对影响GPS定时精度的各种因素(包括SA影响)进行了讨论;同时对提高GPS定时精度的途径作了初步探讨。     

多位数频标测量系统

介绍一种非整数(多位数)频标频率测量系统的工作原理、误差分析及主要技术指标。频率测量范围从1～80MHz,系统的不确定度α<5×10~(-11)/s。该系统还可以同时进行多台频标的自动测试(配上计算机和多路射频开关)。     

悬臂空心梁式加速度计的设计

分析证明:悬臂梁式加速度计的灵敏度与它的谐振频率的平方成反比。因此,欲展宽频带而保持灵敏度不变就很困难。利用应力集中的方法可以有效地解决这一问题。采用空心梁结构不仅能产生应力集中而且能减少梁的自身质量带来的影响,可以有效地展宽频带。文中给出了几种梁的刚度计算。     

微波泄漏对光抽运铯束频标准确度影响的分析

微波泄漏是影响光抽运铯原子钟准确度的主要因素之一. 傅里叶变换分析法是分析其影响的主要手段,但该方法只能用来分析有效原子速度分布很窄的情况.通过分析和计算,推导出频移随漏场的位置、相位和幅度变化的关系式.计算和分析的结果表明,漏场引起频移大小和漂移区的长度、输入微波功率值和漏场的相位、强度和位置等有关.所得的结果和用傅里叶变换方法分析所得的结果是一致的,分析的方法不受原子有效速度限制.     

首颗自主地月转移微卫星“龙江二号”

本文对世界首颗独立完成地月转移、近月制动、环月飞行的微卫星“龙江二号”进行了介绍。首先阐述了龙江二号的任务目标和总体方案；然后重点分析了轨道设计与控制、复杂电磁干扰的标定与抑制、宽视场三维基线干涉测量等关键技术难点；接着回顾了任务的实施过程；最后详细介绍了低频射电探测仪、沙特光学相机和VHF/UHF通信模块与学生微型CMOS相机等有效载荷，并展示了上述载荷获取的初步成果。     

Hexapod多自由度微激励系统的振动时域波形控制

摘要： Hexapod多自由度微激励系统常用于航天器有效载荷在轨微振动环境的模拟，但采用现有控制方法无法精确稳定跟踪低频正弦加速度，这是由于系统耦合度高、非线性在低频段较强，被控对象相位滞后过大造成的.针对此问题，基于传统离线迭代控制方法，提出一种复合超前校正、多倍频陷波滤波器的改进离线迭代控制方法.其中，离线迭代进行补偿控制，超前校正进一步补偿系统相位，多倍频陷波滤波器去除非线性干扰.跟踪低频定频正弦加速度的实验结果表明，对比传统离线迭代控制方法，改进方法收敛快、控制精度高；对比现有自适应正弦振动控制方法，改进方法将符合精度要求的加速度控制频带下限由14.5 Hz扩宽至8 Hz.实验结果验证了所提方法的有效性.     

一次民机飞行中甚高频通信不稳定的排故

针对某型号民用飞机甚高频通信系统在飞行中出现断续故障的情况，对系统的架构进行描述，分析了故障产生的机理，提出了排故思路，记述了排故过程，并总结了甚高频通信系统的设计要点和工艺要点。     

Abnormal changes of dynamic derivatives at low reduced frequencies

A number of studies have found that abnormal changes of dynamic derivatives occurred at very low reduced frequencies, but its inducement mechanism is not very clear. This paper has researched the abnormal changes and analyzed the influence on some parameters by solving the unsteady flow around forced oscillation airfoils based on Navier-Stokes equations. Results indicate that when the reduced frequency approaches to zero, the dynamic derivatives obtained by the numerical method will diverge. We have also proven it in theory that this phenomenon is not physical but completely caused by numerical singularity. Furthermore, the abnormal phenomenon can be effectively mitigated by using the time spectral method to solve the aerodynamic forces and the integral method to obtain the dynamic derivatives. When the reduced frequency is in the range of 0.001–0.01, the dynamic derivative maintains nearly unchanged for the whole speed region. This study can provide a reference for the reasonable choice of the reduced frequency in calculations and experiments of dynamic derivatives.     

Ionospheric F2-Layer critical frequency retrieved from COSMIC radio occultation: A statistical comparison with measurements from a meridional ionosonde chain over Southeast Asia

In this paper, we compared the F2-Layer critical frequency (foF2) derived from FORMOSAT-3/COSMIC radio occultation (RO) and ionosondes at Chiang Mai, Chumphon and Kototabang during the years 2008–2015 to evaluate the performance of COSMIC RO over Southeast Asia region. The results show that the time development of foF2 values derived from COSMIC RO generally agrees well with those from ionosonde measurements. However, the differences between the foF2 derived from COSMIC RO and that derived from ionosonde observations display latitudinal dependence. COSMIC RO tends to underestimate foF2 at Chiang Mai and Kototabang, which is near to the north EIA crest and the south one, respectively, while a little overestimate foF2 at Chumphon, which is close to the geomagnetic equator. COSMIC RO agrees best with ionosonde at Chumphon and worst at Chiang Mai. At each ionosonde station, the quality of COSMIC RO data degrades with the increase of solar activity. In addition, at the station Chiang Mai and Kototabang, COSMIC RO performs better in summer than in equinox and winter. Furthermore, the differences in foF2 derived from COSMIC RO and that from ionosonde measurements vary with local time, i.e., the differences in foF2 are generally smaller at night and larger in noontime when equatorial ionization anomaly (EIA) is well developed.     

An Artificial Neural Network based approach for estimation of rain intensity from spectral moments of a Doppler Weather Radar

By using a Doppler Weather Radar (DWR) at Shriharikota (13.66°N & 80.23°E), an Artificial Neural Network (ANN) based technique is proposed to improve the accuracy of rain intensity estimation. Three spectral moments of a Doppler spectra are utilized as an input data to an ANN. Rain intensity, as measured by the tipping bucket rain gauges around the DWR station, are considered as a target values for the given inputs. Rain intensity as estimated by the developed ANN model is validated by the rain gauges measurements. With the help of a developed technique, reasonable improvement in the estimation of rain intensity is observed. By using the developed technique, root mean square error and bias are reduced in the range of 34–18% and 17–3% respectively, compared to Z–R approach.