民机新一代驾驶舱显示技术

在研究最新大型民用客机驾驶舱显示技术及平视显示器、电子飞行包、视景增强、合成视景等一系列新兴在研技术基础上,提出新一代驾驶舱显示技术的构想。新一代驾驶舱显示技术将以形象化的信息表达能力为基础,显示更丰富的周围环境,以达到降低飞行员工作量及提高飞行员情景意识和态势感知能力的目的。     

非参数化迭代自适应SAR射频干扰抑制方法

合成孔径雷达（Synthetic Aperture Radar，SAR）的成像质量与图像解译精度会因为空间中存在的射频干扰（Radio Frequency Interference，RFI）而下降。本文在加权最小二乘迭代自适应算法的基础上，提出了非参数化的迭代自适应RFI抑制方法。该方法在成像处理前增加了对RFI的预检测环节，在初步检测出存在RFI的数据部分后只对存在RFI的数据进行SG（Savitsky-Golay，萨维茨基·戈莱）卷积平滑处理以提升对弱RFI的检测能力。利用带阻滤波器滤除存在干扰的频段后，使用迭代自适应处理在频谱中估计出被去除频段中的信号分量以获得期望的距离谱。与利用传统距离频率滤波方法进行RFI抑制相比，所提出的方法在图像细节保持方面效果更优，避免了因频谱不连续而导致的旁瓣增加，且运算效率更高。     

Novel roll effector based on zero-mass-flux dual synthetic jets and its flight test

The autonomous and controllable Dual Synthetic Jet Actuator (DSJA) is firstly integrated into the Unmanned Aerial Vehicle (UAV), and flight tests without the deflection of rudders are carried out to verify the viability of DSJA to control the attitudes of UAV during cruising. DSJA is improved into an actuator with two diaphragms and three cavities, which has higher energy levels. Actuators, differentially distributed on both sides of the wings, are installed on the trailing edge close to the wing tips. Flight tests, containing Differential Circulation Control (DCC) using double-side actuators, Positive Circulation Control (PCC) using left-side actuators and Negative Circulation Control (NCC) using right-side actuators, are implemented at cruising speed of 25 m/s. Results show that roll attitude control without rudders could be realized by DSJAs. DCC and NCC can generate the rightward roll and yaw angular velocity, prompting UAV to turn right. The stronger controlling ability can be achieved by DCC, with the maximum roll angular velocity of 15.62 (°)/s. PCC can generate a rightward roll moment, but a leftward yaw moment will be produced at the same time. Leftward yaw induces the leftward rolling moment, which weakens the roll control effect, making UAV keep to yaw to the left with a small slope.     

星载滑动聚束SAR模糊特性分析与仿真

介绍了星载滑动聚束合成孔径雷达（SAR）的成像原理,构造了滑动聚束SAR的方位模糊度计算模型,并分析了其距离模糊度计算模型。系统设计及模糊特性仿真结果表明：模型可用于SAR系统参数优化设计。     

Small-scale solar jet formation and their associated waves and instabilities

Studies on small-scale jets’ formation, propagation, evolution, and role, such as type I and II spicules, mottles, and fibrils in the lower solar atmosphere’s energetic balance, have progressed tremendously thanks to the combination of detailed observations and sophisticated mathematical modelling. This review provides a survey of the current understanding of jets, their formation in the solar lower atmosphere, and their evolution from observational, numerical, and theoretical perspectives. First, we review some results to describe the jet properties, acquired numerically, analytically and through high-spatial and temporal resolution observations. Further on, we discuss the role of hydrodynamic and magnetohydrodynamic instabilities, namely Rayleigh–Taylor and Kelvin–Helmholtz instabilities, in jet evolution and their role in the energy transport through the solar atmosphere in fully and partially ionised plasmas. Finally, we discuss several mechanisms of magnetohydrodynamic wave generation, propagation, and energy transport in the context of small-scale solar jets in detail. This review identifies several gaps in the understanding of small-scale solar jets and some misalignments between the observational studies and knowledge acquired through theoretical studies and numerical modelling. It is to be expected that these gaps will be closed with the advent of high-resolution observational instruments, such as Daniel K. Inouye Solar Telescope, Solar Orbiter, Parker Solar Probe, and Solar CubeSats for Linked Imaging Spectropolarimetry, combined with further theoretical and computational developments.     

一种改进的补偿因子区域不变CS算法及Simulink模型建模

相位补偿因子、距离向补偿因子和方位向补偿因子的产生是合成孔径雷达实时CS（Chirp Scaling，调频变标）算法中的关键。针对一种现有的补偿因子区域不变CS算法进行了改进，对于更新步长内各单元的统一补偿因子，采用该区域内所有单元频率平均值对应的补偿因子，代替原来使用的第一个单元对应的补偿因子，使得最终的补偿结果相比于原有算法更加均匀，计算量与原有算法相当。经过Matlab仿真验证，改进算法的成像指标得到提升。为便于生成FPGA代码，采用Simulink工具搭建了用于生成改进算法中三种补偿因子的模型。将Simulink模型输出的代码加载到Vivado软件中，对Vivado输出的补偿因子与由Matlab输出的精确补偿因子进行了对比，精度满足要求，验证了所搭建Simulink模型的准确性。