Super-resolution reconstruction of astronomical images using time-scale adaptive normalized convolution

In this work, we describe a new multiframe Super-Resolution (SR) framework based on time-scale adaptive Normalized Convolution (NC), and apply it to astronomical images. The method mainly uses the conceptual basis of NC where each neighborhood of a signal is expressed in terms of the corresponding subspace expanded by the chosen polynomial basis function. Instead of the conventional NC, the introduced spatially adaptive filtering kernel is utilized as the applicability function of shape-adaptive NC, which fits the local image structure information including shape and orientation. This makes it possible to obtain image patches with the same modality, which are collected for polynomial expansion to maximize the signal-to-noise ratio and suppress aliasing artifacts across lines and edges. The robust signal certainty takes the confidence value at each point into account before a local polynomial expansion to minimize the influence of outliers. Finally, the temporal scale applicability is considered to omit accurate motion estimation since it is easy to result in annoying registration errors in real astronomical applications. Excellent SR reconstruction capability of the time-scale adaptive NC is demonstrated through fundamental experiments on both synthetic images and real astronomical images when compared with other SR reconstruction methods.     

UAV navigation in high dynamic environments: A deep reinforcement learning approach

Unmanned Aerial Vehicle (UAV) navigation is aimed at guiding a UAV to the desired destinations along a collision-free and efficient path without human interventions, and it plays a crucial role in autonomous missions in harsh environments. The recently emerging Deep Reinforcement Learning (DRL) methods have shown promise for addressing the UAV navigation problem, but most of these methods cannot converge due to the massive amounts of interactive data when a UAV is navigating in high dynamic environments, where there are numerous obstacles moving fast. In this work, we propose an improved DRL-based method to tackle these fundamental limitations. To be specific, we develop a distributed DRL framework to decompose the UAV navigation task into two simpler sub-tasks, each of which is solved through the designed Long Short-Term Memory (LSTM) based DRL network by using only part of the interactive data. Furthermore, a clipped DRL loss function is proposed to closely stack the two sub-solutions into one integral for the UAV navigation problem. Extensive simulation results are provided to corroborate the superiority of the proposed method in terms of the convergence and effectiveness compared with those of the state-of-the-art DRL methods.     

航天器太阳电池阵电性能测试技术

文章介绍了航天器太阳电池阵电性能技术指标,分析了影响测试的技术条件,如光谱、光照强度、温度、标准太阳电池、光照均匀度、光照稳定度、测试系统等。文章还介绍了脉冲式太阳模拟器的工作原理,提出了在航天器太阳电池电性能测试方面的发展方向和今后要解决的技术问题。     

SAR成像对瞄准线方向运动补偿的要求

载体偏离匀速直线运动的运动误差是合成孔径雷达成像的基本困难之一。文章就载体沿瞄准线方向（即雷达天线相位中心至目标视线）同时存在恒定的速度误差和恒定的加速度、同时存在恒定的速度误差和正弦摆动速度误差两种情况进行了详细推导;根据回波信号压缩波形的主瓣偏移、二次相位误差、三次相位误差以及积分旁瓣比等图像指标的最大允许值,给出了带状正侧视合成孔径雷达瞄准线方向运动补偿定量要求的解析式,并结合一例子进行了计算分析。     

航天器表面材料充电性能研究—关于RTV-Ⅱ和13-17涂层的评价

本文报道了RTV-Ⅱ黑漆和13-17白色涂层二种航天器温控材料的电导在综合空间环境条件下的实验结果。实验表明RTV-Ⅱ涂层材料的电导从1984年到1986年,几乎每年下降一个量级,因而充电状态明显改变。13-17涂层材料的电导对空间真空环境响应不明显,但对电子辐照和光辐照响应显著,尤其对光辐照存在强烈的记忆效应。预测该涂层在轨道上由光照区进入星蚀区也不会出现明显充电现象。     

卫星磁层亚暴环境模拟试验设备的设计

卫星表面充电是七十年代初发现的严重危害同步轨道卫星的新问题。为了寻求解决卫星表面充电问题的方法,许多国家进行了广泛的研究。我们于82年开展卫星表面充电模拟试验技术研究。本文仅就我们在磁层亚暴环境模拟设备设计中考虑的一些问题作简要介绍。阐述了对模拟系统的要求,模拟系统的组成和用途,介绍了真空系统,电子枪,光源和测量系统设计中应考虑的问题。     

一种视频SAR运动目标成像算法

视频合成孔径雷达ViSAR(Video Synthetic Aperture Radar)成像模式与传统SAR成像模式不同,此模式需要持续监测目标区域.通过子孔径划分的方法将目标区域的回波划分孔径,然后针对每一个划分后的子孔径进行单独成像和配准,最后把每一帧图像进行处理形成视频,利用序列图像形成的视频去提取目标的运动信...     

基于加权最小二乘法的椭圆轨道编队飞行设计

提出了一种不依赖于相对运动描述的偏心率编队飞行设计方法。利用加权最小二乘法,根据事先所确定的理想相对运动轨迹,就能设计出与之最接近的相对运动轨道。这种方法适用于任意偏心率,并能很容易地加入各种摄动力的影响。仿真验证了其有效性。     

圆感应同步器在采样伺服系统中的应用研究

对于用圆感应同步器做位置传感器的采样伺服系统,由于测量延迟的存在,导致采样时刻较大的测量误差.为解决上述问题,提出一种动态补偿方法,采用线性外推方法,对圆感应同步器数显表的测量输出进行动态修正,以减小由于测量延迟产生的测量误差,从而提高系统的动态跟踪精度.通过理论分析,给出了修正后测量误差的界.仿真和针对三轴转台系统的实验结果都表明了该方法的有效性.      

基于定量反馈理论的飞行仿真转台鲁棒控制

采用定量反馈理论,可以设计具有参数不确定性的飞行仿真转台的鲁棒控制系统.分析和总结了定量反馈理论的基本原理和设计过程.采用QFT设计了某型飞行仿真转台的反馈控制器和前置滤波器,组成了转台的控制系统.实验结果表明,当转台的负载发生变化时,系统仍然能够保持良好的跟踪性能.这证明了系统的鲁棒性.此外,与PID控制的对比表明,QFT控制能够克服摩擦非线性,具有良好的抗干扰性能.QFT在飞行仿真转台上的成功应用说明了该方法具有工程实用价值.