自动相关监视系统信息传输性能分析方法及测试平台构建

本研究目的在于提出一种在民用飞机机载自动相关监视系统(Automatic Dependent Surveillance,简称ADS)系统设计和试验过程中实时/非实时检测该系统端到端信息传输性能的分析方法,并进行相应的地面测试平台搭建设计。对口于飞机的机载系统,ADS监视系统信息传输性能分析平台能够快速准确定位ADS系统的试验故障,实现有效的排故和分析,直观地评估自相关监视系统的工作状态。这项研究的结果有助于推动机载合同式自动相关监视系统(Automatic Dependent Surveillance-Contract,简称ADS-C)和广播式自动相关监视系统(Automatic Dependent Surveillance-Broadcast,简称ADS-B)机上地面功能试验、民机机上地面试验、民机飞行试验等各项工作的开展。该平台在飞机交付以后,也有利于维护工作与客户支持工作的进行。     

Oblique shock train motion based on schlieren image processing

In this paper, shock train motion in a Mach number 2.7 duct is studied experimentally, and large numbers of schlieren images are obtained by a high-speed camera. An image processing method based on Maximum Correlation Detection (MCD) is proposed to detect shock train motion from the schlieren images, based on which the key structures, e.g., separation positions and separation shock angles on the top and bottom walls, can be analysed in detail. The oscillations of the shock train are generated by rhombus and ellipse shafts at various excitation frequencies. According to the analysis of MCD results, the distributions of the frequency components of shock train oscillation generated by the two shafts are distinctly different, in which the motion generated by the ellipse shaft is much smoother; shock train motion is mainly characterized by the oscillation of separation position while the separation shock strength is not so sensitive to downstream disturbance; there is a hysteresis loop relation between the downstream pressure and separation position.     

一种航天测控设备技术状态快速自动建立方法

根据传统测控设备技术状态的建立方法,每个参数宏对应唯一一种技术状态,一个测控任务可能需要装订上百个甚至上千个参数宏,当航天器技术状态发生变化时,还需要人工操作更换参数宏,这为测控设备技术状态的建立、设备操作、应急处理和技术状态管理带来了很大困难.提出了一种测控设备技术状态快速自动建立方法,设计了支持多测控体制、多工作频...     

Detection of surface temperature anomaly of the Sea of Marmara

Monitoring sea surface temperature (SST) over a long-term and detecting the anomalies highly contribute to understanding the prevailing water quality of the sea. Earth observation satellite images are the key data sources that offer the long-term SST detection in a cost and time effective way. Since the Sea of Marmara in Türkiye is surrounded by the highly populated provinces, the water quality of the sea has gained importance for scientific and public communities over the years. This article emphasizes on the significance of detecting SST trend and corresponding anomalies of the Sea of Marmara over the past 32 years. To address the SST variations of the Sea of Marmara in time, a comprehensive set of both field and satellite data regarding SSTs were obtained within the context of this study. The SST trend and its anomalies between the years 1990 and 2021 were detected by applying Seasonal-Trend decomposition procedure based on LOESS (STL) method to NOAA OISST V2 data. On the other hand, spatial SST distribution was detected with Landsat-8, Sentinel-3 and NOAA OISST V2 satellite data. SST results were verified with the in-situ data within the scope of accuracy assessment. The results showed that SST time-series data performed an increasing trend and had anomalies mostly during the spring months in the recent years.     

一种基于多基线载波相位差测量的欺骗干扰检测方法

由于卫星导航信号到达地面的信号功率较低,且民用部分信息公开,极易受到欺骗干扰信号的影响,从而导致接收机解算出错误的位置、速度或时间.针对传统的欺骗干扰检测与抑制方法不能对欺骗干扰进行测向的问题,提出了一种基于阵列多天线接收信号的载波相位差进行欺骗信号检测与抑制的方法.该方法能够在缺少先验知识的条件下,借鉴相关干涉仪测向...