基于LMS格型算法的自适应参数谱估计方法

研究了自适应参数谱估计的基本原理,提出了基于最小均方误差（MMSE）准则的LMS格型滤波算法实现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明,该方法能够在改善谱分辨率的同时提高运算效率,满足遥测速变信号的处理和分析计算的要求。     

A Partially Orthogonal EnKF approach to atmospheric density estimation using orbital debris

A key requirement for accurate trajectory prediction and space situational awareness is knowledge of how non-conservative forces affect space object motion. These forces vary temporally and spatially, and are driven by the underlying behavior of space weather particularly in Low Earth Orbit (LEO). Existing trajectory prediction algorithms adjust space weather models based on calibration satellite observations. However, lack of sufficient data and mismodeling of non-conservative forces cause inaccuracies in space object motion prediction, especially for uncontrolled debris objects. The uncontrolled nature of debris objects makes them particularly sensitive to the variations in space weather. Our research takes advantage of this behavior by utilizing observations of debris objects to infer the space environment parameters influencing their motion.The hypothesis of this research is that it is possible to utilize debris objects as passive, indirect sensors of the space environment. We focus on estimating atmospheric density and its spatial variability to allow for more precise prediction of LEO object motion. The estimated density is parameterized as a grid of values, distributed by latitude and local sidereal time over a spherical shell encompassing Earth at a fixed altitude of 400 km. The position and velocity of each debris object are also estimated. A Partially Orthogonal Ensemble Kalman Filter (POEnKF) is used for assimilation of space object measurements to estimate density.For performance comparison, the scenario characteristics (number of objects, measurement cadence, etc.) are based on a sensor tasking campaign executed for the High Accuracy Satellite Drag Model project. The POEnKF analysis details spatial comparisons between the true and estimated density fields, and quantifies the improved accuracy in debris object motion predictions due to more accurate drag force models from density estimates. It is shown that there is an advantage to utilizing multiple debris objects instead of just one object. Although the work presented here explores the POEnKF performance when using information from only 16 debris objects, the research vision is to utilize information from all routinely observed debris objects. Overall, the filter demonstrates the ability to estimate density to within a threshold of accuracy dependent on measurement/sensor error. In the case of a geomagnetic storm, the filter is able to track the storm and provide more accurate density estimates than would be achieved using a simple exponential atmospheric density model or MSIS Atmospheric Model (when calm conditions are assumed).     

基于存储测试技术的强冲击波测量系统的设计与应用

针对有线式测量系统在弹药静爆威力试验中存在的问题,提出了一种基于存储测试技术的解决方案,描述了按照该方案研制的强冲击波测量系统的系统组成、结构和工作原理,并结合弹药静爆试验证明了该方案的可行性。     

基于LTCC的基片集成波导滤波器仿真设计

文章详细论述了基于LTCC工艺的基片集成波导（SIW,Substrate Integrated Waveguide）滤波器的设计方法和步骤。并在此基础上,设计出了2个Ku频段具有椭圆函数响应的SIW滤波器。应用上下2个SIW谐振腔的耦合开孔位置不同,分别引入了正负耦合形式,从而能够实现具有椭圆函数响应的滤波器。验证了上下两腔之间为多层金属化耦合孔或单层金属形成的耦合窗,都可以达到引入耦合、进而实现特定的滤波响应的目的。这种基于LTCC的SIW滤波器具有尺寸小、设计灵活、电性能优良的优点。     

基于多敏感器的卫星姿态确定算法

针对多敏感器组成的卫星姿态确定系统,采用四元数方法建立卫星姿态估计器模型,应用扩展卡尔曼滤波EKF算法进行信息融合,通过仿真算例验证此算法具有较高的精度。与此同时,在EKF算法基础上提出一种定常增益的卡尔曼滤波CGKF算法。通过数学仿真对EKF算法和CGKF算法进行比较分析,证明在一定条件下CGKF算法具有与EKF算法相当的滤波精度,并且简化后的CGKF算法在获得与EKF算法相近滤波效果的同时,还能够节约星上资源,减少计算量。     

USB系统测速数据电波折射简化修正方法

USB测量系统是我国航天测控网的主体设备，其距离变化率测元R由于目前条件限制，未能对电波折射误差进行修正，因而影响了它的测量精度。本文根据USB系统R的测量原理以及数据获取和处理的方法，在现有气象探测务件下，提供一种关于R的电波折射简化修正方法，这样可以修正电波折射的部分误差，从而改进R的测量精度，也为航天器的定轨精度提高提供条件。     

FY-2卫星应急章控技术的改进与实现

海上测控系统＂风云二号＂（FY-2）控制处理软件在应急章动控制中存在加速度负向过零时刻计算不准、应急章动控制反弹跳以及交叉控制过程脉冲前沿时间补偿等技术难点。在分析应急章动控制原理的基础上,提出了改进方案,并给出了软件实现的具体流程图。经过＂风云二号＂04～06星内部联调以及与测控中心联调任务的验证,软件计算结果准确,运行稳定可靠,实际控制效率较高。     

自均衡类椭圆函数滤波器

文章介绍了通信卫星转发器中使用的自均衡类椭圆函数滤波器的设计方法,这种滤波器采用了四腔双模列式结构,实现了一个虚轴和一个实轴传输零点对的传输特性。因此,它在带外衰减与带内幅度特性和带内群时延特性之间有了一个较好的折中。对实验室模型滤波器进行了电性能的测试,其结果表明已经达到了预期的设计目的。     

低频天波远距离传播日、季变化的观测与分析

本文给出了1987年6月至1988年9月间在新多对琉璜岛罗兰-C导航发射台的100kHz低频信号一跳天波“影区”传播的日变化与季变化特性所做观测的基本结果并对其做了分析。通过分析揭示出了我国中纬地区低频天波远距离传播日变化、季变化、幅度跌落效应与干涉效应的产生机制与变化规律;还揭示了我国中纬地区白天低电离层所具有的双层结构特性:在D层下C层的存在以及它们的某些形态特性与季变特性。