South American regional ionospheric maps computed by GESA: A pilot service in the framework of SIRGAS

SIRGAS (Geocentric Reference Frame for the Americas) is an international enterprise of the geodetic community that aims to realize the Terrestrial Reference Frame in the America’s countries. In order to fulfill this commitment, SIRGAS manages a network of continuously operational GNSS receivers totalling around one hundred sites in the Caribbean, Central, and South American region. Although the network was not planed for ionospheric studies, its potential to be used for such a purpose was recently recognized and SIRGAS started a pilot experiment devoted to establish a regular service for computing and releasing regional vertical TEC (vTEC) maps based on GNSS data. Since July, 2005, the GESA (Geodesia Espacial y Aeronomía) laboratory belonging to the Facultad de Ciencias Astronómicas y Geofísicas of the Universidad Nacional de La Plata computes hourly maps of vertical Total Electron Content (vTEC) in the framework of the SIRGAS pilot experiment. These maps exploit all the GNSS data available in the South American region and are computed with the LPIM (La Plata Ionospheric Model). LPIM implements a de-biasing procedure that improves data calibration in relation to other procedures commonly used for such purposes. After calibration, slant TEC measurements are converted to vertical and mapped using local-time and modip latitude. The use of modip latitude smoothed the spatial variability of vTEC, especially in the South American low latitude region and hence allows for a better vTEC interpolation. This contribution summarizes the results obtained by GESA in the framework of the SIRGAS pilot experiment.     

应用于传感器网络覆盖问题的能量有效性启发式机制

提出了一种解决无线传感器网络覆盖问题的分布式启发式机制。该机制在节能前提下,得到优化的目标覆盖集合,以实现对目标监控区域的完全覆盖,并通过对其中重点目标集合的冗余覆盖来满足对重点目标集的可靠监控。同时,该目标覆盖集合与数据汇集点在通信结构上保持连通性。本文采用了改进的蚁群优化算法（最大最小蚁群混合算法）来实现上述启发式机制。通过构造新颖的启发式因子,人工蚂蚁能够由局域信息感知传感器网络的能量状况和覆盖能力,从而自适应地建立具备通信连通性的数据汇集路径。此外,将信息素浓度调节因子和评价函数引入了信息素更新规则的设计,使得蚁群在扩大搜索范围的基础上,提高了解的质量,且避免了求解过程陷入局部最优。算法的输出为能量有效的优化解集,具备较长生命周期,能够在保证与数据汇集点可靠连通的同时实现对目标区域的有效覆盖。     

区域导航星座分析设计研究

导航星座设计涉及诸多参数的优化组合,星座设计目标就是寻找一组参数组合,使其构成的星座在指定覆盖区域既能获得最优星座性能,又节省系统建设成本和星座长期维持费用.在详细论述导航星座性能指标及其可用性算法,以及导航星座参数设计因素的基础上,进一步提出了半分析式区域导航星座设计方法,并综合分析得到4种区域导航星座设计方案.最后,通过对比研究星座性能指标及定位精度仿真结果,初步说明区域导航星座设计方法和设计方案的可行性和合理性.      

Regional in situ validation of satellite altimeters: Calibration and cross-calibration results at the Corsican sites

The in situ validation of the satellite altimeter sea surface heights is generally performed either at a few local points directly flown over by the satellites or using the global tide gauge network. A regional in situ calibration method was developed by NOVELTIS in order to monitor the altimeter data quality in a perimeter of several hundred kilometres around a given in situ calibration site. The primary advantage of this technique is its applicability not only for missions flying over dedicated sites but also for missions on interleaved or non repetitive orbits. This article presents the altimeter bias estimates obtained with this method at the Corsican calibration site, for the Jason-1 mission on its nominal and interleaved orbits as well as for the Jason-2 and Envisat missions. The various regional bias estimates (8.2 cm and 7.4 cm for Jason-1 respectively on the nominal and interleaved orbits in Senetosa, 16.4 cm for Jason-2 in Senetosa and 47.0 cm for Envisat in Ajaccio, with an accuracy between 2.5 cm and 4 cm depending on the mission) are compared with the results obtained by the other in situ calibration teams. This comparison demonstrates the coherency at the centimetre level, the stability and the generic character of the method, which would also be of benefit to the new and future altimeter missions such as Cryosat-2, SARAL/AltiKa, Sentinel-3, Jason-3, Jason-CS.     

支线货运无人机的发展现状、运行方式与关键技术分析

支线货运无人机为偏远地区、山地、高原、海岛和城市快捷货运等提供了一种更经济、更高效的物资运输方式,并在应急救援和前线补给中发挥着重要作用。本文回顾了支线货运无人机的国内外发展现状,对比了支线货运无人机与有人机、陆地交通之间的竞争优势,论述了当前技术条件下支线货运无人机相对安全的运行方式——点对点管道飞行,并分析了支线货...     

Inter-satellite link augmented BeiDou-3 orbit determination for precise point positioning

Precise Point Positioning(PPP) requires precise products, including high-accuracy satellite orbit and clock parameters. It is impossible to obtain an orbit solution that is sufficiently accurate for PPP services with a regional tracking network; therefore, satellite orbits are usually estimated by a global tracking network with a large number of ground stations. However, it is expensive to build globally distributed stations. Fortunately, BeiDou-3 satellites carry an InterSatellite Link(ISL) pay...     

基于条件生成对抗模型的遥感卫星影像重建技术研究

为了快速侦察未知区域的地貌信息，遥感卫星可对特定区域进行扫描以获取遥感卫星影像。当卫星经过国外未知区域时，部分卫星无法针对某特定区域进行长时间的驻留扫描，本文提出一种基于条件生成对抗网络模型（Conditional Generative Adversarial Network，CGAN）进行网络训练，前期将某方法获取的区域轮廓地形信息作为CGAN网络的生成网络和鉴别网络中的条件约束信息，通过网络生成器与判别器在训练过程中互相博弈产生特定的输出集，有效地实现由单张电子轮廓图像到对应卫星遥感图像的端到端的非线性映射。本文通过原真实卫星遥感图像与生成卫星遥感图像进行四种对比误差计算，平均误差、均方误差与结构相似度均高于99%，峰值信噪比高于30 dB，生成的图像与原图像之间具备高相似度，实现了在获取坐标定位轮廓信息的先验条件下，对特定区域进行遥感卫星影像内容重建技术。