Initial results of centralized autonomous orbit determination of the new-generation BDS satellites with inter-satellite link measurements

Autonomous orbit determination is the ability of navigation satellites to estimate the orbit parameters on-board using inter-satellite link (ISL) measurements. This study mainly focuses on data processing of the ISL measurements as a new measurement type and its application on the centralized autonomous orbit determination of the new-generation Beidou navigation satellite system satellites for the first time. The ISL measurements are dual one-way measurements that follow a time division multiple access (TDMA) structure. The ranging error of the ISL measurements is less than 0.25 ns. This paper proposes a derivation approach to the satellite clock offsets and the geometric distances from TDMA dual one-way measurements without a loss of accuracy. The derived clock offsets are used for time synchronization, and the derived geometry distances are used for autonomous orbit determination. The clock offsets from the ISL measurements are consistent with the L-band two-way satellite, and time–frequency transfer clock measurements and the detrended residuals vary within 0.5 ns. The centralized autonomous orbit determination is conducted in a batch mode on a ground-capable server for the feasibility study. Constant hardware delays are present in the geometric distances and become the largest source of error in the autonomous orbit determination. Therefore, the hardware delays are estimated simultaneously with the satellite orbits. To avoid uncertainties in the constellation orientation, a ground anchor station that “observes” the satellites with on-board ISL payloads is introduced into the orbit determination. The root-mean-square values of orbit determination residuals are within 10.0 cm, and the standard deviation of the estimated ISL hardware delays is within 0.2 ns. The accuracy of the autonomous orbits is evaluated by analysis of overlap comparison and the satellite laser ranging (SLR) residuals and is compared with the accuracy of the L-band orbits. The results indicate that the radial overlap differences between the autonomous orbits are less than 15.0 cm for the inclined geosynchronous orbit (IGSO) satellites and less than 10.0 cm for the MEO satellites. The SLR residuals are approximately 15.0 cm for the IGSO satellites and approximately 10.0 cm for the MEO satellites, representing an improvement over the L-band orbits.     

基于小波分析的汾河河津站径流与输沙的多时间尺度特征

基于汾河流域19个气象台站1959~2005年的月均降水量、河津站的径流量和输沙量资料,借助小波分析方法研究了降水、径流与输沙序列的多时间尺度特征及它们的耦合关系。结果表明:降水、径流与输沙量具有2~4a、14~18 a左右2个不同尺度的周期变化,且三者的主周期基本一致,即3 a和16 a;3 a尺度上,3个要素曲线的正、负位相交替频繁,突变点较多,且曲线变化除个别时段发生紊乱外基本上保持同步性;16 a尺度上,突变点较少,3条曲线的正、负位相交替相应减少且出现不同步现象。降水、径流与输沙量曲线发生趋势变化及出现不同步现象的原因包括自然因素和人类活动,而后者是其主要影响因素。     

前方交会及光电高程导线在桥梁圆形立柱监理中的应用

根据对前方交会及光电高程导线的精度分析,对用前方交会及光电高程导线复核圆形立柱进行了探讨,并给出了工程实例验证.     

基于动态树结构的河网分析方法

某条河流除了河流自身的数量与质量特征外,该河流在河网结构中的空间位置及其相关结构特征将提供全局性的评价依据。河网的空间形态结构特征由各条河流的几何特征和河流之间的相互关系决定,为了完整表示河网的空间形态结构特征,本文提出了基于动态树结构的河网分析思想,阐述了动态河网树结构的建立、维护及其应用的方法。     

50 m天线轨道调整方法

介绍50m天线的工程概况以及全站仪、数字水准仪和合相水平仪在天线轨道调整中的应用,重点介绍轨道径向偏差和法向偏差测量方案的制定以及轨道调整的具体实施方法,对相关工程有一定的参考价值。     

土地利用更新调查需要注意的几个问题

以土地利用更新调查生产中的体会．从工作前期准备、技术路线、正射影像图制作、权属界线调查几种特殊情况和表示方法的处理，提出了土地利用更新调查需要注意的几个问题和建议。     

铁路隧道GPS网布设的精度分析

探讨了隧道GPS网在设计阶段估算横向贯通误差的基本理论,对按该理论编制的软件进行了计算正确性的验证。结合铁路测量规则对不同长度的隧道GPS网横向贯通误差进行了计算分析,提出了分设隧道GPS网的一些基本原则和隧道GPS网横向贯通误差的近似估算方法。     

计算机网络的分布式计算环境及分布式处理

本文对网络计算模式、分布式计算环境以及分布式处理机能作了分析和探讨。     

地图代数的符号化方法

根据地学数据库中符号的定位数据和符号码，使用点阵符号库中的符号数据进行符号化，由此得出的图形美观，生动，河流具有粗细变化，该方法简洁通用，具备数据独立性和程序独立性。     

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data

ABSTRACT

Earth observations and model simulations are generating big multidimensional array-based raster data. However, it is difficult to efficiently query these big raster data due to the inconsistency among the geospatial raster data model, distributed physical data storage model, and the data pipeline in distributed computing frameworks. To efficiently process big geospatial data, this paper proposes a three-layer hierarchical indexing strategy to optimize Apache Spark with Hadoop Distributed File System (HDFS) from the following aspects: (1) improve I/O efficiency by adopting the chunking data structure; (2) keep the workload balance and high data locality by building the global index (k-d tree); (3) enable Spark and HDFS to natively support geospatial raster data formats (e.g., HDF4, NetCDF4, GeoTiff) by building the local index (hash table); (4) index the in-memory data to further improve geospatial data queries; (5) develop a data repartition strategy to tune the query parallelism while keeping high data locality. The above strategies are implemented by developing the customized RDDs, and evaluated by comparing the performance with that of Spark SQL and SciSpark. The proposed indexing strategy can be applied to other distributed frameworks or cloud-based computing systems to natively support big geospatial data query with high efficiency.