遥感卫星高速数传信息流设计

随着卫星遥感技术水平的提高,遥感数据的类型和数据量快速增加。为适应多类型、高速率遥感数据传输的复杂需求,对数传信息流进行了顶层设计,定义了数传与遥感系统数据接口以及数传帧格式,对遥感数据传输所需码速率进行了分类计算,为设计固定的下行数传码速率提供了依据。进而针对不同类型的遥感数据提出了基于分组优先级虚拟信道动态调度策略的数传信息流设计方案,确保不同类型遥感数据的传输满足不同的应用需求。对高速遥感数据确保满足较低的缓存容量需求,对低速遥感数据确保满足实时性传输需求。采用动态仿真技术对数传信息流设计方案进行了试验验证。设计方案可为后续新一代遥感卫星数传系统设计提供参考。     

基于ANSYS对遥感器铝合金镜头低温环境试验技术的研究

为了给新型遥感器用铝合金镜头提供良好的模拟试验环境,针对较低的温度以及较高的温度均匀性要求,为提高试验可靠性和工作效率,采用仿真计算与试验相结合的方式。运用ANSYS软件详细分析试验过程中的三维温度场,预测整个过程的降温趋势,以提前发现试验中可能存在的潜在问题并做出有效的改进。同时开展低温条件下的试验验证。结果表明:仿真计算值与试验结果趋势相符。通过仿真分析提前预测潜在的问题并对试验方案做出改进,有助于提高试验的可靠性和效率,也为日后的各类金属镜头的低温试验奠定了基础、积累了经验。     

遥感影像中电磁特性数据挖掘

从数据挖掘和遥感信息提取的概念出发,提出了遥感影像中电磁特性数据挖掘的思想,从电子信息装备试验对电磁特性数据的需求和SAR影像数据处理的需求出发,重点完成了基于电磁特性的地物分类和面向对象的遥感影像电磁特性数据挖掘,其中面向对象的遥感影像电磁特性数据挖掘包含遥感影像准备与数据预处理、影像分割、对象的层次结构、规则建立、电磁特性数据获取、信息提取等六个部分,最后把理论方法进行了实践,为大批量获取遥感影像中的电磁特性数据提供了方法支持。     

Rainfall retrieval over Indian land and oceanic regions from SSM/I microwave data

Present study focuses on the estimation of rainfall over Indian land and oceanic regions from the Special Sensor Microwave/Imager (SSM/I) on the Defense Meteorological Satellite Program (DMSP) F-13. Based on the measurements at 19.35, 22.235 and 85.5 GHz channels of SSM/I Satellite, scattering index (SI) has been developed for the Indian land and oceanic regions separately. These scattering indices were co-located against rainfall from Precipitation Radar (PR) onboard Tropical Rainfall Measuring Mission (TRMM) to develop a new regional relationship between the SI and the rain rate for the Indian land and oceanic regions. A non-linear fit between the rain rate and the SI is established for rain measurement. In order to have confidence in our method, we have also estimated rainfall using the global rainfall and scattering index relationship developed by Ferraro and Marks [Ferraro, R.R., Marks, G.F. The development of SSM/I rain rate retrieval algorithms using ground based radar measurements. J. Atmos. Ocean. Technol. 12, 755–770, 1995]. The validation with the rain-gauge shows that the present scheme is able to retrieve rainfall with better accuracy than that of Ferraro and Marks (1995). Further intercomparison with TRMM-2A12 and validation with rain-gauges rainfall showed that the present algorithm is able to retrieve the rainfall with reasonably good accuracy.     

R3D-B2 – Measurement of ionizing and solar radiation in open space in the BIOPAN 5 facility outside the FOTON M2 satellite

Solar and space radiation have been monitored using the R3D-B2 radiation risks radiometer-dosimeter on board a recent space flight on the Russian satellite Foton M2 within the ESA Biopan 5 facility mounted on the outside of the satellite exposed to space conditions. The solar radiation has been assayed in four wavelength bands (UV-C, 170–280 nm, UV-B, 280–315 nm), UV-A (315–400 nm) and PAR (photosynthetic active radiation, 400–700 nm). The data show an increasing tumbling rotation of the satellite during the mission. The photodiodes do not show a cosine response to the incident light which has been corrected. After calibration of the signals using the extraterrestrial spectrum, doses have been calculated for each orbit, for each day and for the total mission as basic data for the biological material which has been exposed in parallel in the Biopan facility. Cosmic ionizing radiation has been monitored and separated in 256 deposited energy spectra, which were further used for determination of the absorbed dose rate and flux. Basic data tables were prepared to be used by other Biopan 5 experiments. The paper summarizes the results for the Earth radiation environment at the altitude (262–304 km) of the Foton M2 spacecraft. Comparisons with the predictions of NASA Earth radiation environment experimental models AE-8 and AP-8, and the PSB97 model are also presented, which calculate the fluxes of ionizing radiation from a simulation. AP-8 is a model for trapped radiation.     

LDPC码在卫星导航系统中的应用

作为一种接近香农极限的信道编码,近年来LDPC码被广泛采用,例如欧洲第二代数字视频广播卫星标准DVB-S2和空间数据咨询委员会(CCSDS)遥测信道编码标准就分别采用了LDPC码。文章将讨论LDPC码在卫星导航系统中的应用,内容涵盖星上编码与接收机解码。GPS联合项目办公室在接口规范(Draft IS-GPS-800,Navstar GPS Space Segment/User Segment L1C Interfaces,19 April 2006)中展现了L1电文结构中的LDPC码。子帧2和子帧3将分别用一个独立的24bit循环冗余检验(CRC)算法。加入CRC比特之后每一子帧将进一步被长度为1200/548码率为1/2的LDPC码编码。文章将给出同等长度同等码率的不同类型的LDPC码。它们表现出了优异的译码性能、简单的编码结构和较低的译码复杂度。另外一个优点是其校验矩阵无需用一系列的冗余表格来表示。这种LDPC码的构造方法可以被扩展到其它卫星导航系统,比如欧洲的伽俐略(Galileo)系统和中国的北斗(Compass)系统。     

星间网络拓扑的二分图及其关联矩阵表示法

星间网络拓扑是建立星间链路首要考虑的问题,以往文献中描述星间网络拓扑一般都用直观图形的表示方法,即以卫星作为节点、链路作为边画出的图形。但是这种直观图形表示法,当卫星数量增加时,图形庞大而杂乱难以辨认,同时无法满足分析问题的需要。为此,文章提出了一种利用图论中的二分图及其对应的关联矩阵描述星间网络拓扑的方法,此方法具有图形描述简单明了、关联矩阵描述便于仿真分析的特点。     

两步法快速解算编队卫星GPS模糊度

为克服卫星编队飞行实时相对定位中双频模糊度解算速度慢的缺点,结合扩展Kalman滤波(EKF,Extended Kalman Filter),首先采用少数个历元(如10个)相位平滑伪距相对定位结果与 L₆的平均值对滤波初始化,再根据两步法解算双频模糊度,即先解算并正确固定宽巷模糊度,获得较准确的基线分量估值,然后采用选权拟合方法,将基线分量作为约束条件解算并固定双频模糊度.仿真算例计算结果表明,当宽巷模糊度正确固定后,编队卫星间相对定位误差在5cm以内,两步法可以在较短时间(约3min)内固定双频模糊度,为精确解算编队卫星的相对状态提供保障.     

卫星导航系统传感器故障识别

传感器是卫星导航系统中的重要部件,其故障的检测和识别对提高系统可靠性具有重要意义。给出了一种基于模糊逻辑的卫星导航系统传感器故障识别方法。首先采用T-S模糊模型描述卫星导航系统,然后应用全解耦奇偶方程的方法进行故障检测,并利用卡尔曼滤波器进行故障参数识别。仿真结果表明,针对导航系统中多个传感器同时发生故障的情况,此方法能有效检测故障,并能准确识别故障参数。