基于时-频分析的LFM信号检测研究

线性调频(LFM)波形是现代雷达系统广泛采用的一种非平稳扩谱信号波形,具有良好的低截获概率特性,为此,现代电子侦察系统常采用时频分析技术检测和分析这类时变信号.介绍了短时傅里叶变换和WVD等线性和非线性时频分析方法,运用这些方法对LFM信号的检测进行了分析,揭示了LFM信号在二维时频平面上的分布特征,并运用Hough变换检测WVD时频平面上呈直线分布的LFM信号.计算机仿真结果证实了此方法的有效性.     

常用卫星通信信号数字调制方式的自动识别

针对常用的卫星通信信号的调制方式识别问题,提出了一种新的自动识别算法.该算法基于统计特性分类原理,通过建立一组统计特征参数,在无需先验信息的条件下,实现对信号调制方式的自动识别.对实际采集数据进行了实验验证,结果表明该算法在低信噪比环境下仍有较高的识别率,简单易用,具有较强的工程可行性和良好的扩展性.     

美俄空间目标监视现状与发展研究

空间对抗能力的主要标志是空间监视和预警能力、空间部署能力和空间攻防能力.探讨了空间目标面临的主要问题,介绍了美俄两国空间侦察监视技术的发展现状,指出美国正在大力扩展其空间目标监视能力.空间目标监视将在空间对抗中起着越来越关键的作用.     

Orbital rendezvous using two-step sliding mode control

The problem of spacecraft rendezvous is studied, using sliding mode control in the presence of the earth's gravitational perturbation. The impulsive solution of Lambert's problem is obtained using the combined equations method to minimize total ΔV via an iterative method, and it is used as the desired trajectory for the rendezvous. In this paper, a two-step sliding mode control method is introduced for solving the rendezvous problem with finite-thrust including unmodeled dynamics.The thrust-coast-thrust type control laws for the system to follow the desired trajectories are represented and resultant trajectories are close enough to the Lambert's orbit with comparable amount of ΔV to the Lambert's impulsive solution. All state variables matched the final boundary conditions reasonably well at the end of maneuver.     

一种基于语义分析的大数据视频标注方法

提出一种基于Spark计算框架的海量视频语义标注方法。将存储在Hadoop分布式文件系统（Hadoop distributed file system,HDFS）上的海量视频部署到若干计算节点上，依据分形特征实现镜头快速分割。提取样本关键帧的颜色、纹理和分形特征向量，进行元学习策略训练，进而形成视觉词典。根据视觉词典对检测视频内容进行分析，产生一系列能表征视频内容的视觉单词。根据重要程度，通过马尔科夫链按重要程度对视频的视觉单词进行排序，并将排列结果作为该视频的标注。最后，从检测正确率、平均运行时间和扩展效能方面与传统分布式计算模型进行了对比。     

Preliminary analysis of the quality and positioning performance of BDS-3 global interoperable signal B1C&B2a

BeiDou-3 Navigation Satellite System (BDS-3) satellites are equipped with the new generation GNSS signals B1C and B2a, which support the interoperability with GPS and Galileo systems. In this study, the pseudo-range multipath error and carrier phase observation noise of the BDS-3 B1C and B2a signals were evaluated based on zero baseline measurements from the day of year (DOY) 113 to 116, 2020. Further, the precision and performance of the single point positioning (SPP) and precise point positioning (PPP) are assessed at 9 stations. This assessment manifests that the standard deviations (STDs) of the pseudo-range multipath error are about 0.09 ~ 0.22 m, while STDs of the carrier phase observation noise are about 0.075 mm. For the single-frequency SPP, its positioning precision is about 2.03 ~ 4.85 m and 3.29 ~ 10.73 m at the 99.99% confidence level in horizontal and vertical directions, respectively, while the dual-frequency SPP precision is about 1.92 ~ 8.02 m and 4.81 ~ 12.77 m in horizontal and vertical directions, respectively. For the daily static PPP, the convergence time is about 20 ~ 30 min, while the daily positioning precision can reach 1.38 ~ 4.42 cm and -1.31 ~ 4.34 cm in horizontal and vertical directions, respectively. In general, the quality and the SPP and PPP performance of the BDS-3 B1C&B2a signals are comparable to the GPS and Galileo.     

A data driven approach for detection and isolation of anomalies in a group of UAVs

The use of groups of unmanned aerial vehicles(UAVs) has greatly expanded UAV’s capabilities in a variety of applications, such as surveillance, searching and mapping. As the UAVs are operated as a team, it is important to detect and isolate the occurrence of anomalous aircraft in order to avoid collisions and other risks that would affect the safety of the team. In this paper, we present a data-driven approach to detect and isolate abnormal aircraft within a team of formatted flying aerial vehicles, which removes the requirements for the prior knowledge of the underlying dynamic model in conventional model-based fault detection algorithms. Based on the assumption that normal behaviored UAVs should share similar(dynamic) model parameters, we propose to firstly identify the model parameters for each aircraft of the team based on a sequence of input and output data pairs, and this is achieved by a novel sparse optimization technique. The fault states of the UAVs would be detected and isolated in the second step by identifying the change of model parameters.Simulation results have demonstrated the efficiency and flexibility of the proposed approach.     

基于使用可靠性的民用航空发动机水洗间隔优化方法研究

航空发动机在翼水洗是发动机性能恢复的重要手段。通过对国内某航空公司2009年和2010年35台发动机水洗前后EGTM恢复数据的分析,提出了发动机水洗效果评估的指标,建立了一套基于发动机水洗使用可靠性的评估方法与水洗间隔优化方法。可以帮助航空公司优化水洗间隔,评估水洗效果,提高发动机使用可靠性,为航空公司优化发动机维修计划提供数据支持。     

北斗二号中AS信号多径抑制方法及性能分析

针对北斗二号系统中AS（Authorized Service,授权服务）采用的BPSK（10）、BOC（14,2）、BOC（15,2.5）信号,研究如何抑制多径效应对AS信号跟踪的影响,提高定位精度.对3种信号的自相关特性及功率谱密度进行比对,并在对基于码跟踪环的EML（Early Minus Late,早减迟）和HRC（High Resolution Correlator,高精度相关器）技术进行分析的基础上,将这2种技术用于北斗二号AS信号的多径抑制.仿真表明：EML和HRC均适用于北斗二号AS信号,采用EML时,对BOC（14,2）、BOC（15,2.5）的多径抑制性能优于对BPSK（10）的;采用HRC时,对BPSK（10）的多径抑制性能优于对BOC（14,2）、BOC（15,2.5）的;对于BPSK（10）,HRC较EML在误差包络面积上多径抑制性能提高约89.7％;对于BOC（14,2）、BOC（15,2.5）,HRC和EML多径抑制性能相当,而EML的计算量相对较小因而整体性能更优;通过减小相关器间隔和增大带宽,可提高多径抑制性能,对BPSK（10）的效果比对BOC（14,2）、BOC（15,2.5）的更为明显.     

基于子带累积的DS/FH卫星测控信号捕获算法

DS/FH(直接序列扩频/跳频扩频)混合扩频信号的快速捕获问题亟待研究。电离层色散效应增加了BPSK(二相相移键控)调制的DS/FH信号捕获的复杂度,并导致不同频点信号载波相位难以保持连续。通过估计电波传播路径上TEC(电子浓度),可以消除电离层色散效应的影响,利于应答机精确测速。提出一种划分子带的信号捕获方法,放宽TEC搜索步进,缩短搜索TEC的时间,从而实现信号的快速捕获。分析了划分子带个数与捕获时间及捕获能量损失的关系,在实现过程中可通过调整子带的个数来控制捕获能量损失,使得捕获模块设计更加灵活。