频率微调在导弹末制导雷达自动检测系统中的实现方法

介绍了频率微调及频率调整概念及手动频率微调的方法,指出频率微调在末制导雷达性能测试中的重要性,给出了一种在自动检测系统中的自动频率微调方法.     

航空发动机H_∞混合灵敏度控制中权阵的选取

在进行Ｈ∞混合灵敏度控制器设计时,加权阵的选取一般较为困难。根据控制系统的动态性能指标及系统动态解耦要求来构造权阵,计算机仿真验证了这种方法的有效性。     

自动倒码式力标准机技术及其应用

静重式力标准机是最重要的力值计量、传递仪器之一。采用倒换砝码的加载方法,只需少量的砝码,可以实现大范围测量应用,并减小设备体积。理论上,一台较大规格的自动倒码式力标准机可以替代其容量以下所有规格的设备。分析了加载过程中砝码倒换的力学原理,论述了所研制的自动倒码式力标准机的工作原理及其自动监控问题,并进行了应用实验。结果表明,关于砝码倒换的力学原理的理论分析和力标准机的监控方法是正确和有效的。自动倒码式力标准机非常适合于包括宇航推力计量器具在内的各种测力仪的标定和校准。     

基于SPCE061A数字四探针电阻率测试仪的设计

以16位单片机SPCE0 6 1A为控制核心,并采用内带程控放大器和片上数字滤波器的16位Σ-Δ型模数转换器AD770 5 ,设计了一款智能四探针电阻率测试仪的硬件电路。该仪器能够自动选择量程和自动校准,本设计减小了印刷电路板的面积,提高了测试仪器的智能化水平,具有一定的实用开发价值。     

航空电子设备自动化测试及关键技术研究

在介绍航空电子设备自动测试技术的基础上 ,分析了航空电子设备自动化测试的关键技术 ,指出宽带微波系统、射频信号仿真和故障自动诊断是航空电子设备自动化测的关键技术。     

基于矩阵光学的多程激光放大器准直系统模型分析

多程放大技术成为高功率固体激光装置的主要发展方向,对激光光路进行调试和维护,建立光路准直的数学模型和调整方案很有必要,采用矩阵光学方法,建立了多程放大自动准直系统数学模型,得出了远、近场光斑偏移量与调整量的解析表达式,验证了该自动准直系统光路原理及调整方法的可行性。     

视觉导引的无人直升机自主着舰系统仿真

对于无人直升机着舰问题,提出了基于视觉导引的自主着舰方案;建立了一套无人直升机自主着舰仿真系统;建立了舰船运动模型,无人直升机六自由度非线性全量模型;设计了着舰特征图案,通过摄像机模型获取舰船上的特征图案;提出快速四点算法实现3D位姿估算,并以此构建视觉信息识别系统,识别直升机与舰船相对运动参数;通过分层控制思想,实现基于视觉信息导引着舰。在此基础上形成仿真闭环,对无人直升机定点自主着舰的全过程进行仿真验证。     

基于边缘计算和VPRS的火箭设备单机双层判读与实时诊断

为提高参数自动判读的效率，增强设备单机状态诊断的时效性和准确性，提出一种基于边缘计算和变精度粗糙集(VPRS)的运载火箭设备单机双层判读与实时诊断方法。首先构建了边缘层-判读服务器层的双层判读架构。然后，基于边缘计算技术设计了边缘层判读方法，对参数原始数据进行阈值判断与数据筛选。随后，在判读服务器层，定义AIPL(AutoIP Language)判据描述语言设计高阶判据并进行高阶判读；基于VPRS建立了实时诊断模型，对设备单机的历史数据进行约简，挖掘出了简化后的状态诊断规则。最后，以XX火箭设备单机遥测数据自动判读系统升级改造为例，验证了所提方法的可行性与有效性。     

Automatic lineament extraction in a heavily vegetated region using Landsat Enhanced Thematic Mapper (ETM+) imagery

Lineament extraction from satellite remotely sensed data has been one of the widely used applications of remote sensing in geology. In fact, recent advances in digital image processing allow such lineament extraction to be accomplished in semi-automatic to fully automatic approaches. However, satellite remotely sensed data acquired in heavily vegetated regions such as tropical rainforest, are vulnerable to higher inherent noise levels attributed to the resultant effects of scattering by clouds and adjacency effects of highly inhomogeneous vegetation cover within the pixel dimension. In this study, we examined the effects of noise levels to lineament extraction using a fully automatic approach, consisting of a combination of edge-line detection algorithms. Ancillary information from a digitized topographic map and image classification was used to discriminate between cultural and natural lineaments from the extracted lineaments. Adapting the combination of edge detection and a line-linking algorithm, we have found the optimal parameters for automatic lineament extraction of such complex areas using Enhanced Thematic Mapper (ETM+) data. A noise level of 30% is the maximum threshold before artifacts are generated. It is therefore concluded that the combination of edge-based and line-linking digital image processing operations with the priori local optimal parameters is crucial in lineament feature extraction in heavily vegetated regions.     

Improvements in bottomside electron density definition in the Autoscala program

Some improvements introduced in the Autoscala program are presented. They include improvements in E valley modeling of the electron density profile N_e(h), and in the link between the E valley and bottom-side F regions. An abrupt variation in N_e(h) generated by the previous version of Autoscala under night conditions has been eliminated.A series of ionograms recorded by the Millstone Hill digisonde (42.6°, 288.5°) were automatically interpreted by the previous version of Autoscala and by the new one. Data from Incoherent Scatter Radar (ISR) were used to comparatively assess the performance of the two versions. For this purpose, the root mean square errors (RMSEs) of the N_e(h) provided by Autoscala were calculated relative to the corresponding values provided by ISR.A more accurate overall modeling of N_e(h) was achieved by the new Autoscala version (RMSE = 0.51 MHz for the new version against RMSE = 0.67 MHz for the previous one).