基于北斗GEO卫星反射信号的海冰反演技术研究

海冰检测已成为GNSS(全球导航卫星系统)反射信号技术的重要应用方向。为改善极化比海冰反演模型在海冰检测中的准确性,对极化比海冰反演模型的适用仰角范围进行了研究。根据菲涅尔原理,针对渤海海域的菲涅尔反射系数进行了模拟仿真,对极化比海冰反演模型的适用范围进行了理论分析,并开展海冰实验。通过对实验数据的分析,成功反演了渤海海冰的变化趋势,验证了利用北斗反射信号反演海冰的可行性,同时,验证了两种模型的仰角适用范围。实验结果表明:用极化比海冰反演模型弥补偏振比海冰反演模型在高仰角情况下的不稳定性可行。     

基于ANP数据库的飞机起飞仿真研究

以可视化的方式全面直观的反应其航迹,来检验或者分析飞机起飞过程,为解决飞机噪声问题提供技术理论支持,利用ANP数据库,从中获取各种机型的飞行程序和性能参数,计算飞机起飞航迹及航迹上各点的推力、速度、姿态等,实现了飞机起飞过程及其航迹的三维可视化仿真。     

模型旋翼风洞试验中变距拉杆载荷的测量

桨叶变距拉杆操纵载荷是旋翼设计的重要参数之一。在参考了常规飞机模型风洞试验测力元件及国外测量方法的基础上,研制了具有足够刚度和强度,且有较高载荷灵敏度的新式变距拉杆测力元件,解决了高刚度与高的载荷灵敏度要求这一矛盾。同时采用了信号放大技术,将其成功地应用于旋翼模型试验,并获得了操纵载荷这一重要参数     

立体显示技术及其在航空电子系统中的应用

分析了航空电子系统对立体显示技术的需求；介绍了各种立体显示技术的基本原理，并对比了各种立体显示技术的性能特点，提出了航空电子可应用的立体显示技术设想。     

Virtual Reality-based Teleoperation with Robustness Against Modeling Errors

This article investigates virtual reality (VR)-based teleoperation with robustness against modeling errors. VR technology is an effective way to overcome the large time delay during space robot teleoperation. However, it depends highly on the accuracy of model. Model errors between the virtual and real environment exist inevitably. The existing way to deal with the problem is by means of either model matching or robot compliance control. As distinct from the existing methods, this article tries to combine model matching and robot compliance control. On one hand, the status of the virtual robot is corrected by using the position sensor data from robot joints before and during teleoperation, and the pose of the virtually manipulated object is obtained with visual recognition technology. On the other hand, compliance control algorithms of impedance control based on joint torque sensors and hybrid position/force control based on a wrist sensor have been executed in order to eliminate the small sustaining model errors. A VR-based teleoperation system of satellite on-orbit self-serving is built up. In order to verify the proposed method, an experiment deploying the solar panel troubled by malfunction is carried out through teleoperation. It shows that the large model errors are removed with the model matching method and the adopted compliance control is robust against the remaining small model errors.     

基于多步裁定法评估编队超视距空战效能

提出了评估编队歼击机超视距空战效能的多步裁定法。用损失交换比和剩余飞机数量作为效能指标,将最优火力分配与空空反导弹引入到多步裁定模型中。考虑了电子对抗与飞机生存力,计算了歼击机领先发射概率、空空导弹击毁概率和发射次数。算例表明,领先发射一方超视距空战效能通常较高,滞后发射一方若采用最优火力分配、空空反导弹、电子对抗及提高飞机生存力等措施也可提高超视距空战效能。此模型计算简便,合理有效。     

基于运动特征和中心环绕模型的空对地车辆检测方法

平台的移动基于空基车辆检测以其视野广、速度快、适应性强等优点,近些年成为了智能交通和航空应急救援等领域内的一个热点课题。然而,在城市背景的交通环境下,由于复杂背景造成的干扰、车辆运动的不规律性以及光照等条件变化带来的噪声,有效地获取运动对象特征是空对地视觉监视方法面临的一个难题。为有效解决这一问题,提出了结合运动特征的中心环绕模型进行空对地车辆检测的算法。现有的空对地车辆检测算法,大多是针对固定的摄像头的情况下,基于运动特征进行检测,例如光流法、背景差法等。这些方法在对高速公路等背景相对较为简单的环境下获得了良好的检测结果,但当面对城市复杂背景条件或摄像头自身运动的状况时,难以有效地检测出运动目标。而在对颜色、强度等静态特征进行显著度分析的基础上,加入了对运动特征的分析,可以解决在复杂环境下准确提取车辆目标有效特征的问题。试验表明,相较于基于图像相减的检测算法和单一显著度算法,该算法可以获得更高的检测率与更低的误报率。     

基于脑机交互接口的遥控小车控制平台设计

本文介绍了BCI（脑机交互接口）的基本概念和研究现状，并通过对脑电信号性质的分析，选取适合BCI系统控制平台所需的脑电信号特征信息，对该信息放大、处理、提取和分类识别后，转化成BCI系统的所需控制命令，实现对外部设备的通信与控制。     

基于BP神经网络的飞行训练品质评估

为了弥补现有飞行训练品质评估系统存在的不足,本文提出利用飞行员生理信号和飞行操作参数来构建评估指标体系。建立了基于BP神经网络的飞行员飞行训练品质评估模型,通过已完成训练的网络的权值分布计算出各输入指标对最后评分结果的影响,并通过算例分析检验了该模型的可靠性。检验结果表明:经BP神经网络模型训练得到的结果和样本的专家评分基本吻合,选取的评价指标有效,该评估模型能够有效地将飞行员生理信号与飞行训练参数相结合,对飞行员的飞行训练品质进行评价。     

A Neuro-Cognitive Theory of Deductive Relational Reasoning with Mental Models and Visual Images

Abstract

Many neuro-imaging studies have provided evidence that the parietal cortex plays a key role in reasoning based on mental models, which are supposed to be of abstract spatial nature. However, these studies have also shown concurrent activation in vision-related cortical areas which have often been interpreted as evidence for the role of visual mental imagery in reasoning. The aim of the paper is to resolve the inconsistencies in the previous literature on reasoning and imagery and to develop a neurally and cognitively plausible theory of human relational reasoning. The main assumption is that visual brain areas are only involved if the problem information is easy to visualize and when this information must be processed and maintained in visual working memory. A regular reasoning process, however, does not involve visual images but more abstract spatial representations—spatial mental models—held in parietal cortices. Only these spatial representations are crucial for the genuine reasoning processes.