卫星双向时间比对的设备时延标定方法

卫星双向时间比对的设备时延包含在伪码测距的测量值之中,精确标定设备时延是提升卫星双向时间比对精度的关键。针对卫星双向时间比对中的设备时延标定问题,提出了一种基于同源零基线测量的设备时延标定方法,将中国科学院国家授时中心的1套3.7m天线地面站和2套5m天线地面站并址安装,3套地面站同时进行卫星双向时间比对模式的观测,以此来标定3套地面站之间的设备时延相对值。试验结果表明,该方法可使设备时延标定的精度达到亚ns量级,能有效减小设备时延对卫星双向时间比对精度的影响,对于多个地面站站间时间比对具有一定的实际意义。     

不安抗辩权与预期违约之比较

《合同法》在第68条和第69条规定了不安抗辩权制度．在第108条规定了明示预期违约。但《合同法》对英美法系的预期违约制度和大陆法系的不安抗辩权制度融合的不够彻底。使预期违约和不安抗辩权在适用上产生了混乱。提出了通过对两大法系相关制度的比较来完善我国合同立法的思路。     

F-region ionospheric parameters observed in the equatorial and low latitude regions during medium solar activity in the Brazilian sector and comparison with the IRI-2007 model results

The ionospheric sounding observations using the Canadian Advanced Digital Ionosondes (CADIs) operational at Palmas (PAL; 10.2°S, 48.2°W; dip latitude 6.6°S; a near-equatorial station), and São José dos Campos (SJC, 23.2°S, 45.9°W; dip latitude 17.6°S; a low-latitude station located under the southern crest of the equatorial ionospheric anomaly), Brazil, are analyzed during the different seasons viz., winter (June and July 2003), spring (September and October 2003), summer (December 2003 and January 2004), and fall (March and April 2004). The period used has medium solar activity (sunspot number between 77.4 and 39.3). The seasonal mean variations (using only geomagnetically quiet days) of the ionospheric parameters foF2 (critical frequency of the F-region), hpF2 (virtual height at 0.834 foF2; considered to be close to hmF2 (peak height of the F-region)), and h’F (minimum virtual height of the F-region) are calculated and compared between PAL and SJC. The prominent differences between PAL and SJC are as follows: h’F variations show strong post-sunset enhancement at PAL during the seasons of spring, summer, and fall; hpF2 variations show pre-sunrise uplifting of the F-layer at both stations during all the seasons and the hpF2 values during the daytime are lower at SJC compared with PAL during all the seasons; the foF2 variations show mid-day bite-out at PAL during all the seasons and SJC shows strong equatorial ionospheric anomaly during summer and fall seasons. Also, the seasonal variations of the ionospheric parameters foF2 and hpF2 (with ±1 standard deviation) observed at PAL and SJC are compared with the IRI-2007 model results of foF2 and hmF2. In addition, variations of the foF2 and hpF2 observed at SJC are compared with the IRI-2001 model results of foF2 and hmF2. It should be pointed out that the ionospheric parameter hpF2 is much easier to obtain using computer program developed at UNIVAP compared with hmF2 (using POLAN program). During the daytime due to underlying ionization hpF2 estimated is higher (approximately 50 km) than the true peak height hmF2. During the nighttime hpF2 is fairly close to hmF2. The comparison between the foF2 variations observed at PAL and SJC with the IRI-2007 model results shows a fairly good agreement during all the seasons. However, the comparison between the hpF2 variations observed at PAL and SJC with the hmF2 variations with the IRI-2007 model results shows: (1) a fairly good agreement during the nighttime in all the seasons; (2) the model results do not show the pre-sunrise uplifting of the F-layer at PAL and SJC in any season; (3) the model results do not show the post-sunset uplifting of the F-layer at PAL; (4) considering that, in general, hpF2 is higher than hmF2 during the daytime by about 50 km, the model results are in good agreement at PAL and SJC during all the seasons except summer at SJC, when large discrepancies in the observed hpF2 and modeled hmF2 are observed. Also, it has been observed that, in general, hmF2 values for SJC calculated using IRI-2001 are higher than IRI-2007 during the daytime in winter, summer, and fall. However, hmF2 values for SJC calculated using IRI-2001, are lower than IRI-2007 during the nighttime in spring.     

协同数据链的高精度时间同步设计

鉴于Link16中的RTT时间同步精度为百纳秒级别,针对其精度不高和需要GPS进行初始粗同步的缺点,本文分析了双向比对时间同步的各误差项,给出了各项误差消除或减小方法,最终能实现优于10 ns的时间同步精度,并首次提出不需要其它导航源进行初始粗同步的自主RTT算法。最后,在协同数据链动态自组织组网的需求下,对动态时隙分配时的RTT算法进行了分析,计算出对基准频率源的准确度要求,保证了改进算法在动态时隙分配时也能达到10 ns的精度。     

两种成分提取回归方法的比较分析

对两种采用成分提取进行回归建模的方法进行比较分析.指出采用主成分分析提取的主成分,虽然能很好地概括自变量系统中的信息,却往往对因变量缺乏解释能力.而采用PLS回归所提取的成分,则能在很好地概括自变量系统信息的同时,最好地解释因变量,排除无意义的信息干扰作用.     

Comparative study of foF2 measurements with IRI-2007 model predictions during extended solar minimum

The unusually deep and extended solar minimum of cycle 23/24 made it very difficult to predict the solar indices 1 or 2 years into the future. Most of the predictions were proven wrong by the actual observed indices. IRI gets its solar, magnetic, and ionospheric indices from an indices file that is updated twice a year. In recent years, due to the unusual solar minimum, predictions had to be corrected downward with every new indices update. In this paper we analyse how much the uncertainties in the predictability of solar activity indices affect the IRI outcome and how the IRI values calculated with predicted and observed indices compared to the actual measurements. Monthly median values of F2 layer critical frequency (foF2) derived from the ionosonde measurements at the mid-latitude ionospheric station Juliusruh were compared with the International Reference Ionosphere (IRI-2007) model predictions. The analysis found that IRI provides reliable results that compare well with actual measurements, when the definite (observed and adjusted) indices of solar activity are used, while IRI values based on earlier predictions of these indices noticeably overestimated the measurements during the solar minimum. One of the principal objectives of this paper is to direct attention of IRI users to update their solar activity indices files regularly. Use of an older index file can lead to serious IRI overestimations of F-region electron density during the recent extended solar minimum.     

一种摄录设备的检测方法研究

摄录设备小型化完成后,移植到不会造成人员伤亡的无人机上,应用在军事或高危领域。为避免拍摄失败,需要大量且周全的飞行前检查测试。介绍了某摄录设备的结构原理,论述了地面检测的环境方法,通过地面与空中视频图像的对比,验证了检测方法的合理性。     

Update on Fengyun Meteorological Satellite Program and Development

China began to develop its meteorological satellite program since 1969. With 50-years' growing, there are 17 Fengyun (FY) meteorological satellites launched successfully. At present, seven of them are in orbit to provide the operational service, including three polar orbiting meteorological satellites and four geostationary meteorological satellites. Since last COSPAR report, no new Fengyun satellite has been launched. The information of the on-orbit FY-2 series, FY-3 series, and FY-4 series has been updated. FY-3D and FY-2H satellites accomplished the commission test and transitioned into operation in 2018. FY-2E satellite completed its service to decommission in 2019. The web-based users and Direct Broadcasting (DB) users keep growing worldwide to require the Fengyun satellite data and products. A new Mobile Application Service has been launched to Fengyun users based on the cloud technology in 2018. In this report, the international and regional co-operations to facilitate the Fengyun user community have been addressed especially. To strengthen the data service in the Belt and Road countries, the Emergency Support Mechanism of Fengyun satellite (FY_ESM) has been established since 2018. Meanwhile, a Recalibrating 30-years' archived Fengyun satellite data project has been founded since 2018. This project targets to generate the Fundamental Climate Data Record (FCDR) as a space agency response to the Global Climate Observation System (GCOS). At last, the future Fengyun program up to 2025 has been introduced as well.     

用Hopfield神经网络与模拟退火算法求解UAV航路规划问题

分别用Hopfield神经网络与模拟退火算法求解UAV航路规划问题,并且对所求得结果进行了简单比较,结果表明模拟退火算法比Hopfield神经网络求解UAV航路规划问题效率更高。