基于相位重合点检测技术的频标比对系统

相位重合点检测是一种高准确度测量周期性信号参数的技术,已实际应用于高准确度频率计中。介绍了相位重合点检测技术的原理及其在频标比对系统中的应用。实际工作情况证明,采用相位重合点检测技术的频标比对系统,具有电路简单,可靠性高的优点,测量分辨力达到了100 ps量级。     

量子信息技术在未来电子对抗中的前景展望

量子信息技术飞速发展,已成为研究热点,并逐步走向未来战场应用,可极大改变敌我战场态势,威胁我方电子对抗装备系统作战效能。为应对量子信息技术带来的安全威胁以及算力威胁,全面提升我国电子对抗装备具备远程精确化、智能自动化、隐身无人化等特点,是未来重点研究领域,关系着未来战场走向。文章结合量子技术特点,重点分析了量子测量、量子雷达探测以及量子保密通信等量子信息技术国内外发展现状,以及该技术对现代电子对抗应用的潜在影响,并提出量子信息技术与电子对抗技术融合发展思路,构想量子信息技术在电子对抗装备领域应用的模式,并对未来“量子-电子对抗”技术进行前景展望,努力争夺未来量子-电子领域制高点。     

A new skeleton based flying bird detection method for low-altitude air traffic management

In low-altitude air traffic management, non-cooperation targets are the greatest threat to security of low-flying aircraft. Among various aviation fatalities, flying bird is the main factor with the highest risk and directs economic losses amounted to nearly 10 billion US dollars each year. Therefore, Flying Bird Detection (FBD) has attracted considerable attention in low-altitude air traffic management. In this paper, we propose a skeleton based FBD method via describing bird motion information with a set of key poses. To overcome the variability of birds, the skeleton feature is selected as a relatively fixed and common characteristic for the pose appearance of flying bird. Based on the geometric topology among some key parts of bird body, a set of key poses can be described by some extracted skeleton features, which are used to represent the bird motion information. Aimed at robustly handling with the pose variations, multiple pose-specific classifiers are individually trained to learn the representative poses of the flying bird. At the detection stage, the flying bird skeleton features are combined with extracted key-pose sets to perform the flying bird classification task from each image. Afterwards, the key-frame pose-change set and the consistency of the classification results from sequent images are employed to validate the final detection results. Experiments on flying bird datasets demonstrate the effectiveness and efficiency of the proposed method.     

Efficiently constructing collision-free regions of tool orientations for holder in five-axis machining of blisk

Blisks with the integral structure are key parts used in new jet engines to promote the performance of aircrafts, which also increases the complexity of tool orientation planning in the five-axis machining. It is an essential task to find the collision-free tool orientation when the tool holder is pushed deep into the channel of blisk to increase rigidity and reduce vibration. Since the radius of the holder varies with the height, the line-visibility is no longer applicable when constructing collision-free regions of tool orientation. In this paper, a method of constructing collision-free regions without interference checking is proposed. The work of finding collision-free regions resorts to solving the local contact curves on the checking surfaces of blisk. And it further transforms into searching the locally tangent points (named critical points) between the holder and surface. Then a tracking-based algorithm is proposed to search the sample critical points on these local contact curves. And the corresponding critical vectors are also calculated synchronously. Besides, the safety allowance, discrete precision and acceptable deviation are introduced in the algorithm to ensure accuracy by controlling the angle between two adjacent critical vectors properly. After that, the searched critical vectors are mapped orderly to two-dimensional space and the collision-free regions are constructed. This method is finally verified and compared with a referenced method. The results show that the proposed method can efficiently construct collision-free regions for holder under the given accuracy.     

基于动态RCS的隐身飞机探测概率研究

动态RCS是影响战斗机突防概率的重要因素。围绕动态RCS这一关键要素,建立了空空动态RCS求解模型,得到了典型机动下战斗机的动态RCS变化规律,并分析了基于动态RCS的典型机动下的雷达探测概率。基于仿真的静态RCS数据库,耦合飞机抖动模型,研究了拉升机动、空间机动以及空空对抗下某型隐身飞机的动态RCS。通过仿真发现:战斗机的机腹、垂尾及尾喷管部位RCS较大,从而导致了较高的探测概率;对于拉升机动,保持较大的航路捷径更有利于隐蔽突防。     

Improving EGT sensing data anomaly detection of aircraft auxiliary power unit

The reliability of the on-wing aircraft Auxiliary Power Unit (APU) decides the cost and the comfort of flight to a large degree. The most important function of APU is to help start main engines by providing compressed air. Especially on the condition of sudden shutdown in the air, APU can offer additional thrust for landing. Therefore, its condition monitoring has drawn much attention from the academic and industrial field. Among the on-wing sensing data which can reflect its condition, Exhaust Gas Temperature (EGT) is one of the most important parameters. To ensure the reliability of EGT, one kind of data-driven anomaly detection framework for EGT sensing data is proposed based on the Gaussian Process Regression and Kernel Principal Component Analysis. The situations of one-dimensional and two-dimensional input data for EGT anomaly detection are considered, respectively. The cross-validation experiments are carried out by utilizing the real condition data of APU, which are provided by China Southern Airlines Company Limited Shenyang Maintenance Base. The anomalous stuck condition of EGT sensing data is also detected. Experimental results show that the proposed EGT sensing data anomaly detection method can achieve better performance of false positive ratio, false negative ratio and accuracy.     

一种直升机协同搜潜的阵型最优化方法

分析了两种常用检查反潜阵型的各项参数特点，基于指标化评估搜潜阵型对于任务的合理性，提出了一种选取最优搜潜阵型及参数的方法，并通过示例验证了该方法的可行性。     

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.     

复合材料层合板凹坑损伤目视检测影响因素分析

飞机复合材料结构设计中必须确定凹坑损伤的目视检测门槛值及其影响因素.采用3种直径的冲头,通过准静态方法对平板表面引入随机分布的凹坑损伤.考察板的角度、颜色以及检测人员水平3种因素对详细目视检测结果的影响.基于累积对数正态分布模型分析对比了不同因素条件下的检出概率.结果表明,蓝色板的凹坑损伤更容易被检出;接近垂直检测角度...     

弹载遥测系统总体关键技术的研究与应用

弹载遥测系统主要用于导弹飞行试验过程中,完成导弹飞行试验数据的采编、调制、传输,与地面遥测设备配合完成试验数据远距离获取,即遥测任务。遥测数据为导弹及分系统设计验证、故障分析、试验结论评判等提供数据依据,是导弹研制过程中极其重要、必不可少的测量系统。结合导弹遥测系统技术发展趋势及笔者近年来创新性工程设计经验,详细阐述了包括弹载遥测系统架构设计、可编程式采编技术、优化供电技术及射频综合化技术等总体关键性技术,为弹载遥测系统提供总体设计新思路。