考虑侧风情况下的无人机自主导航控制技术研究

随着无人机应用范围的扩大,要求无人机能精确跟踪预定航线.介绍了无人机侧向导航控制律、切换准则和控制参数的限定;分析了侧风对无人机自主飞行时姿态的影响,以及在一种常用侧向控制律下形成侧风偏差的原因,给出了解决的办法.Matlab软件数字仿真的结果对比表明了控制系统抗侧风偏差的有效性.     

A 2-D comparison of ionospheric convection derived from SuperDARN and DMSP measurements

Ion drift vectors measured by the DMSP satellites are compared with plasma convection vectors obtained by the SuperDARN HF radars through the standard Map Potential algorithm of Ruohoniemi and Baker [Ruohoniemi, M., Baker, K.B. Large-scale imaging of high-latitude convection with super dual auroral radar network HF radar observations. J. Geophys. Res. 103, 20797–20811, 1998]. Despite significant data spread, the agreement can be qualified as reasonable for a data set comprising of 149 satellite passes over the Northern Hemisphere at high latitudes. The slope of the best-fit line relating SuperDARN and DMSP velocity magnitudes is of the order of 0.3 with a tendency for the SuperDARN velocities to be smaller. The agreement between the azimuths of the ion drift and convection is better with the slope of the best-fit line being close to 1. It is shown that consistency between the radar and satellite measurements is much better if the SuperDARN line-of-sight velocities are compared with the DMSP cross-track ion drifts for events showing slow spatial and temporal variations of the convection. If areas of strong convection changes are included into comparison, the degree of agreement deteriorates drastically. This result implies that differences in the spatial and temporal resolutions of DMSP and SuperDARN measurements are crucial factors contributing to the observed discrepancies. In addition, some differences are introduced when the SuperDARN line-of-sight velocities are filtered and reprocessed into vectors with the application of a background convection model.     

RPC-MIP: the Mutual Impedance Probe of the Rosetta Plasma Consortium

The main objective of the Mutual Impedance Probe (MIP), part of the Rosetta Plasma Consortium (RPC), is to measure the electron density and temperature of Comet 67P/Churyumov-Gerasimenko’s coma, in particular inside the contact surface. Furthermore, MIP will determine the bulk velocity of the ionised outflowing atmosphere, define the spectral distribution of natural plasma waves, and monitor dust and gas activities around the nucleus. The MIP instrumentation consists of an electronics board for signal processing in the 7 kHz to 3.5 MHz range and a sensor unit of two receiving and two transmitting electrodes mounted on a 1-m long bar. In addition, the Langmuir probe of the RPC/LAP instrument that is at about 4 m from the MIP sensor can be used as a transmitter (in place of the MIP ones) and MIP as a receiver in order to have access to the density and temperature of plasmas at higher Debye lengths than those for which the MIP is originally designed.     

A method for automatic detection and characterization of plasma bubbles using GPS and BDS data

Detecting and characterizing Total Electron Content (TEC) depletion is important for studying the ionospheric threat due to the Equatorial Plasma Bubble (EPB) when applying the Ground-Based Augmentation System (GBAS) at low latitudes. This paper develops a robust method to automatically identify TEC depletion and derive its parameters. The rolling barrel algorithm is used to automatically identify the TEC depletion candidate and its parameters. Then, the depletion candidates are screened by several improved techniques to distinguish actual depletions from other phenomena such as Traveling Ionospheric Disturbance (TID) or abnormal data. Next, based on the depletion signals from three triangular receivers, the method derives EPB parameters such as velocity, width and gradient. The time lag and front velocity are calculated based on cross-correlation using TEC depletions and the geometrical distribution of three triangular receivers. The width and gradient of slope are then determined by using TEC depletion from a single receiver. By comparison, both the station-pair method and proposed method depend on the assumption that the EPB morphology is frozen during the short time when the plasma bubble moves between the receivers. However, our method relaxes the restriction that the baseline length should be shorter than the width of slope required by the station-pair. This relaxation is favorable for studying small-scale slope of depletions using stations of a longer baseline. In addition, the accuracy of the width and gradient is free of impact from hardware biases and small-scale disturbance, as it is based only on the relative TEC variation. The method is demonstrated by processing Global Positioning System (GPS) and BeiDou Navigation Satellite System (BDS) data on 15 August, 2018, in a solar minimum cycle.     

地面停放飞机局部温度环境研究

确定地面停放飞机局部温度环境的变化规律是编制飞机结构局部环境谱和解决传感器"温漂"问题的关键工作。为此,开展了地面停放飞机局部温度实测工作,对不同舱室的温度变化规律进行了分析;基于模糊聚类的方法,根据局部温度的差异将飞机舱室划分为3类;选取结构系数和日照系数为关键参数,研究了环境温度对局部温度的影响规律;以百叶箱温度为自变量,建立了飞机局部温度模型;并通过统计方法确定了3类舱室温度模型关键参数的取值范围。研究结果表明:同一密闭状态下的不同飞机舱室可以有较大的温度差异;影响舱室温度的主要因素有日照、降雨以及舱室的结构形式和位置;实测温度与模型预测温度的对比证实了模型具有较高的精度。     

FMCW体制毫米波SAR实时信号处理方法研究

与脉冲体制合成孔径雷达(SAR)相比,调频连续波(FMCW)体制SAR具有体积小、重量轻、分辨率高、功耗低和低截获等一系列优点,目前小型或微小型SAR普遍采用FMCW工作体制。FMCW SAR在整个脉冲重复周期内都发射信号,其信号占空比达到了100%,为了减小数字接收机采样带宽,降低数据率,FMCW体制毫米波SAR一般采取解线频调接收的方式,但其数据量依然很大,而且机载平台受到气流的影响,运动误差很大,需要迭代估计与补偿,给实时处理模块带来了很大压力。为了提高整个机载FMCW SAR系统的信号实时处理性能,需要在算法层面进行改进。提出了一种两次子孔径误差估计和全孔径误差拼接补偿的FMCW SAR实时成像算法,使用相位梯度自聚焦(PGA)算法和图像偏置(MD)算法级联提取子孔径误差;然后进行子孔径误差拼接成全孔径误差补偿原数据,两维脉冲压缩后完成图像聚焦,提高了FMCW体制毫米波SAR成像算法的效率;最后使用机载Ka波段FMCW SAR实测数据,验证了该算法的有效性。     

Effect of the seed perturbation amplitude on the equatorial spread F initiation during solar minimum

The contribution of gravity wave (GW) to the initiation/development of spread F during a solar minimum year was investigated through the comparison of the observed precursory parameters and characteristics of the corresponding equatorial spread F (ESF) events. The ionospheric parameters were recorded at the magnetic equatorial station Sao Luis (2.3°S, 44°W, dip latitude 2°S) during March and October 2010. These data were used to estimate the influence of the relative gravity wave amplitude and the ambient ionospheric condition on the diurnal variation of the spread F initiation. The vertical velocity drift indicated a clear control and defines the threshold for the seasonal variability of the ESF occurrence. However, it was insufficient to solely determine or predict the day to day variation of ESF occurrence. Thus, few days with contrasting ambient ionospheric condition and magnitude of GW amplitude were analysed in order to investigate the role of the different precursory factors in the observed diurnal variation of the plasma irregularity development. The density scale length and gravity wave amplitude were shown to immensely contribute to the linear instability growth rate, especially during the days with a low post-sunset rise. Thus, the experimental observations have demonstrated the strong inter-dependence between the precursory factors and they have also highlighted the probable control of the ESF morphology.     

Integration of GPS and low cost INS for pedestrian navigation aided by building layout

In outdoor environments, GPS is often used for pedestrian navigation by utilizing its signals for position computation, but in indoor or semi-obstructed environments, GPS signals are often unavailable. Therefore, pedestrian navigation for these environments should be realized by the integration of GPS and inertial navigation system （INS）. However, the lowcost INS could induce errors that may result in a large position drift. The problem can be minimized by mounting the sensors on the pedestrian＇s foot, using zero velocity update （ZUPT） method with the standard navigation algorithm to restrict the error growth. However, heading drift still remains despite using ZUPT measurements since the heading error is unobservable. Also, tbot mounted INS suffers from the initialization ambiguity of position and heading from GPS. In this paper, a novel algorithm is developed to mitigate the heading drift problem when using ZUPT. The method uses building lay- out to aid the heading measurement in Kalman filter, and it could also be combined for the initial- ization. The algorithm has been investigated with real field trials using the low cost Microstrain 3DM-GX3-25 inertial sensor, a Leica GS10 GPS receiver and a uBlox EVK-6T GPS receiver. It could be concluded that the proposed method offers a significant improvement in position accuracy for the long period, allowing pedestrian navigation for nearly40 min with mean position error less than 2.8 m. This method also has a considerable effect on the accuracy of the initialization.     

光纤陀螺本征频率对准误差引起的零偏漂移抑制方法

在温度环境下,光纤环的伸缩及光折射率的变化等会引起光纤陀螺本征频率发生变化,产生光纤陀螺本征频率与陀螺调制频率对准误差,进而导致探测器信号中的“尖峰脉冲”信号发生变化,使光纤陀螺产生零偏漂移。通过分析光纤陀螺本征频率的变化,提出了一种调制频率自动跟踪本征频率的方法,从而减小了温度条件下光纤陀螺的零偏漂移。试验验证结果表明,采用该方法的光纤陀螺在-40℃～+60℃的温度范围内固定温度点下的零偏极差减小了50%。     

基于MEMS陀螺仪辅助的粒子群优化磁力计校正

目前磁力计校正中存在需要采集大量数据、获取良好的初值和已知准确的传感器噪声分布等问题,传统的粒子群优化磁力计校正算法能够解决以上问题,但是该算法只能用于磁力计简化模型,校正其中9个误差参数,造成补偿不准确的问题。该算法借助MEMS陀螺仪建立矢量目标函数,采用随机漂移粒子群优化算法估计磁力计12个误差参数,具有较强的全局搜索能力和动态适应性。经过仿真与实测实验表明,该算法在磁力计绕其任意2个单轴不完整旋转1周即可实现校正,并且能够在磁场变化情况下保持精度,相比于传统算法补偿精度高、操作简单。