烧蚀热响应计算中的不确定性传播分析方法研究

发展了基于代理模型的不确定度量化方法，以少量确定性模拟结果为样本，通过代理模型来构建目标变量和不确定性输入参数的响应关系，以此来分析目标变量的不确定性信息，包括均值、标准差、概率密度分布等统计信息以及各个输入参数对目标变量的敏感性大小。本文以烧蚀热响应计算为例，通过分析材料物性参数的不确定性对烧蚀热响应预测的影响，表明该方法具有准确度高、效率高的特点，为工程中的高维不确定度量化问题提供了很好的解决思路。     

一种新型滑模控制算法在挠性多体卫星姿态控制中的应用

针对一类挠性多体卫星的复合控制问题，提出一种新型滑模变结构控制算法。新型算法利用闭环系统Lyapunov函数的一阶导数估计值设计控制器，且控制器采用了递归学习控制结构，能够有效解决传统滑模控制技术的颤振问题。随后根据Lyapunov稳定性理论证明闭环系统轨迹可以快速收敛到滑模面，并且系统状态误差可在滑模面上渐近收敛到零。此外，设计的控制器能够有效抑制外部干扰，而且控制器只需要控制输入矩阵信息而不需受控系统和未知参数的其他先验信息，使得算法具有较强鲁棒性。最后通过数值仿真与现有文献中控制算法进行对比，结果充分验证了本文设计控制算法的有效性和实用性。     

NB-IoT模块与电信物联网开放平台的通信研究

中国电信物联网开放平台实现对各种NB-IoT设备数据的统一管理,同时向第三方应用系统开发接口,让各种应用能快速构建自己的物联网业务。本文构建物联网系统,终端利用DS18B20温度传感器采集环境温度,通过BC35-G模块以CoAP协议将温度传输至电信物联网开放平台。     

Inter-satellite calibration of FengYun 3 medium energy electron fluxes with POES electron measurements

We perform an L-shell dependent inter-satellite calibration of FengYun 3 medium energy electron measurements with POES measurements based on rough orbital conjunctions within 5?min?×?0.1?L?×?0.5 MLT. By comparing electron flux data between the U.S. Polar Orbiting Environmental Satellites (POES) and Chinese sun-synchronous satellites including FY-3B and FY-3C for a whole year of 2014, we attempt to remove less reliable data and evaluate systematic uncertainties associated with the FY-3B and FY-3C datasets, expecting to quantify the inter-satellite calibration factors for the 150–350?keV energy channel at L?=?2–7. Compared to the POES data, the FY-3B and FY-3C data generally exhibit a similar trend of electron flux variations but more or less underestimate them within a factor of 5 for the medium electron energy 150–350?keV channel. Good consistency in the flux conjunctions after the inter-calibration procedures gives us certain confidence to generalize our method to calibrate electron flux measurements from various satellite instruments.     

高低轨双星时频模糊雷达信号的频差估计算法

针对高低轨双星定位系统中，雷达信号定位参数估计结果同时存在时差与频差模糊的问题，分析了相参脉冲串信号的模糊特性；利用粗略配对的脉冲串获得到达时间差序列，避免了对时域高度密集的脉冲进行配对的难题；在此基础上，提出了对时差序列进行中心差分计算频差粗估值实现频差模糊消除的方法；推导得出了频差粗值误差随着辐射源载频的增加、脉冲到达时间测量误差的增大、时差差分间隔的减小而增大的结论。仿真结果表明，频差粗值误差与理论值一致；通过设置合理的差分间隔，得到无模糊的频差粗值以后，频差精估精度逼近CRLB。新算法便于工程实现，对长基线定位系统中雷达信号的频差估计具有一定参考价值。     

A scheduling strategy to inter-satellite links assignment in GNSS

By introducing inter-satellite link (ISL), the dependence of the global navigation satellite system (GNSS) on ground infrastructure can be reduced and its performance enhanced via inter-satellite ranging and communication. Owing to platform restrictions, there are usually fewer onboard Ka-band ISL antennas than the number of visible satellites, which poses a problem when optimizing the inter-satellite links assignment of the GNSS. In this study, to optimize inter-satellite ranging and communication, a multi-objective optimization model is built and a scheduling strategy is proposed for the inter-satellite links assignment scheduling problem. The position dilution of precision (PDOP) of links and the transmission time-delay of telemetry data are set as the ranging performance and communication metrics, respectively. We regard the links assignment in each slot as a general graph-matching problem, and apply the Blossom algorithm to obtain the maximum matching. We then generate and optimize the satellite sequences for whole slots using non-dominated sorting genetic algorithm II (NSGA-II). The simulation scenes include 10,080 epochs of GNSS constellation, and the simulation results show that the performance of the proposed strategy is better than that of other methods published recently, and can provide various solutions to meet the different preferences of system managers.     

Phase asynchrony between coronal index and sunspot numbers

In this paper, the phase asynchrony between coronal index and sunspot numbers is investigated. It is found that, (1) the sunspot numbers begin one month earlier than coronal index, which should mathematically lead to phase asynchrony between them but with a slight effect; (2) the 11-year Schwabe cycle is the only one period with statistical significance for coronal index and sunspot numbers, and the difference between the length of the Schwabe cycle of them should also lead to phase asynchrony between them; (3) although coronal index and sunspot numbers are coherent in low-frequency components corresponding to the 11-year Schwabe cycle, they are asynchronous in phase in high-frequency components; (4) their different definitions and physical meanings may be a major reason why there is a phase asynchrony between them.     

Fault detection and isolation in GPS receiver autonomous integrity monitoring based on chaos particle swarm optimization-particle filter algorithm

The receiver autonomous integrity monitoring (RAIM) is one of the most important parts in an avionic navigation system. Two problems need to be addressed to improve this system, namely, the degeneracy phenomenon and lack of samples for the standard particle filter (PF). However, the number of samples cannot adequately express the real distribution of the probability density function (i.e., sample impoverishment). This study presents a GPS receiver autonomous integrity monitoring (RAIM) method based on a chaos particle swarm optimization particle filter (CPSO-PF) algorithm with a log likelihood ratio. The chaos sequence generates a set of chaotic variables, which are mapped to the interval of optimization variables to improve particle quality. This chaos perturbation overcomes the potential for the search to become trapped in a local optimum in the particle swarm optimization (PSO) algorithm. Test statistics are configured based on a likelihood ratio, and satellite fault detection is then conducted by checking the consistency between the state estimate of the main PF and those of the auxiliary PFs. Based on GPS data, the experimental results demonstrate that the proposed algorithm can effectively detect and isolate satellite faults under conditions of non-Gaussian measurement noise. Moreover, the performance of the proposed novel method is better than that of RAIM based on the PF or PSO-PF algorithm.     

数字科氏质量流量计闭环系统及信号解算

在科氏质量流量计测量系统设计中,提出一种数字式信号处理、解算的全新设计思路.采用高速并行模拟数字转换电路(A/D)将传感器输出的信号完整采样,借助数字信号处理芯片(DSP, Digital Signal Processor)强大运算能力对信号进行深入的分析与处理;利用信号处理方法对信号进行实时滤波处理并精确计算两路信号的相位差,进而解算出流体的质量流量和密度,辅以单片机和现场可编程器件(FPGA, Field Programmable Gate Array)实现系统的控制、显示与通讯;提出谐振电路的数字式闭环设计新思想,利用数字电路及其信号处理方法实现传统的闭环增益控制(AGC, Auto Gain Control).实验结果表明:该系统有效提高了测量系统的零点稳定性和测量精度.     

SpaceMocap：在轨人体运动捕捉系统

SpaceMocap是一套基于多RGB-D相机的计算机视觉航天员运动捕捉系统。地面准备阶段，扫描航天员模型，并分别标定彩色相机的内参数。在轨采集阶段，3~4台相机布置在舱内角落，同步采集航天员任务视频。地面处理阶段，通过相机外参数标定和ICP方法实现点云融合，采用深度神经网络对人体关节点位置进行检测并初始化位姿参数，再用改进的ICP方法进行位姿求精，实现序列图像中关节角度跟踪。本系统搭载TG-2升空，对SZ-11航天员的任务视频进行了采集和处理，首次获取了在轨航天员的姿态(包括中性体位)、占位空间、运动参数等重要数据。结果表明，运动捕捉的模型与点云具有良好的重合度，关节点位置与关节角度具有较高的跟踪精度。SpaceMocap是我国首个在轨运动捕捉系统，它小型、轻质，具有计算机视觉特有的非接触测量、直观、高精度优势，无需在人体上粘贴任何标志，具有良好的抗遮挡能力，完全适用于微重力、狭小空间环境下的在轨应用 。