利用S变换的X射线脉冲星信号恒虚警率检测算法

针对传统的X射线脉冲星信号检测算法计算量大及在低信噪比下检测性能差的问题,提出了一种结合S变换的恒虚警率检测算法。首先,根据高斯白噪声的S变换域功率谱分布特性对累积信号的时频功率谱进行阀值滤波;然后累加阀值滤波后的信号功率谱作为检测统计量,从理论上对检测统计量的分布特性进行分析,得出检测统计量服从高斯分布,并用蒙特卡罗方法进行了验证。在此基础上,利用检测统计量的概率密度函数计算判决门限,从而实现了恒虚警率检测。理论分析和实验结果表明,本文算法的检测性能优于同类基于高斯分布的恒虚警率检测算法,并且具有较低的复杂度。     

一种摄录设备的检测方法研究

摄录设备小型化完成后,移植到不会造成人员伤亡的无人机上,应用在军事或高危领域。为避免拍摄失败,需要大量且周全的飞行前检查测试。介绍了某摄录设备的结构原理,论述了地面检测的环境方法,通过地面与空中视频图像的对比,验证了检测方法的合理性。     

美国STSS卫星有效载荷主要指标探讨

根据目标光学特性、大气吸收特性及地球背景辐射特性,推测了美空间跟踪与监视系统（STSS）卫星助推段捕获相机和中段跟踪相机的波段选择。根据卫星轨道及目标运动特性,推测相机探测距离和视场。以推测结果为输入条件计算星座覆盖率,结果验证了推测的合理性。     

脉冲雷达探测中高轨道目标方法及试验

通过分析中高轨目标雷达回波信号特性,给出一种基于空间目标动力学约束的回波信号相参积累方法,介绍了信号积累模式下中高轨道目标的参数测量方法。通过对国内某型号雷达进行中高轨目标探测支路改造及相关试验,获取试验数据并对其进行分析,验证了原理的正确性和方法的可行性。     

基于预处理共轭梯度法的多用户检测方法

针对准同步CDMA（码分多址）系统中解相关检测运算复杂度高以及常规CG（共轭梯度）法收敛速度慢的问题,提出了SSOR-PCG（对称超松弛预处理共轭梯度）模型求解方法。通过SSOR预处理降低了扩频码矩阵的条件数,从而提高收敛速度,减少了迭代次数。实验结果表明,本文提出的方法相对于解相关检测,运算复杂度大大降低,而误码率与解相关检测器相当;相对于共轭梯度法,收敛速度更快,有效减少了迭代次数。     

China Space Environment Development

This paper presents Chinese space environment detection and parts of results,and gives a short perspective of space environment observations on Chinese future satellites.      

机翼防冰自动作动功能的逻辑设计及验证

首先从适航规章出发提出了某大型民机的机翼防冰自动作动功能要求,包括结冰探测、起飞抑制、温度抑制、机组操作指令和发动机引气状态等子功能,以及实现各子功能所需的信号及信号状态组合;接着设计了满足功能要求的基于主导式结冰探测的自动作动组合逻辑电路,推导了逻辑真值表;最后采用matlab软件simulink模块搭建了自动作动组合逻辑电路,数字验证的工作波形与真值表一致,表明设计的自动作动组合逻辑电路能够实现机翼防冰的自动作动功能。     

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.     

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.