余度数据总线电气隔离度的测试与分析

"余度数据总线电气隔离度测试"是检验在数据总线和余度电缆之间存在电气耦合度的大小.通过对数据总线屏蔽层在接地与不接地状态下的电气隔离度测试,分析了"有传输活动"电缆对"无传输活动"电缆干扰的特征,阐述了电缆屏蔽层的良好接地是确保余度数据总线电气隔离度满足要求的关键.     

中高轨道卫星离轨参数研究

介绍了国际上对卫星离轨的处置政策以及美国NASA对GPS卫星离轨参数的研究结论。从确保卫星离轨期间以及离轨后与相邻轨道卫星不发生碰撞的角度出发,针对我国中高轨道运行的卫星,按照不同初始轨道参数对卫星离轨后长达200年的时间内各轨道参数的演化情况进行研究,研究结果表明:卫星离轨的近地点幅角初值的选取与升交点赤经密切相关。最后提出了对我国中高轨道卫星离轨高度、偏心率和近地点辐角等参数的选取建议,希望能为到达寿命末期的中高轨道卫星离轨工作提供参考。     

一种适用于高速OFDM的符号定时同步算法

OFDM系统以其优秀的频带利用率受到了广泛的应用。本文就OFDM系统在高速数据传输环境下出现的符号定时同步问题与经典同步算法中的问题的不同点做了分析,并对针对小子载波数情况出现的不同对已有的经典符号定时同步算法做出了相应的改进。最后使用Matlab对其进行了仿真,可以得出在小子载波数的情况下捕获性能良好,是一种可以用于高速OFDM系统的符号定时同步算法。     

地球同步卫星BSR硅太阳电池阵输出功率衰减规律分析

长期受粒子辐照、紫外辐照等因素的影响,地球同步卫星的太阳电池阵输出功率会出现较为明显的衰减。这里选取某地球同步卫星使用的背表面反射(BSR)硅太阳电池阵为研究对象,采用光强因子和温度因子修正太阳电池阵的输出功率,使用局部加权回归散点平滑法(LOWESS)分析了其在设计寿命期间的输出功率衰减规律;同时基于LOWESS建立了预测模型,用于硅太阳电池阵超寿运行期间的功率预测。实测数据表明:本文构建的预测模型可以满足超寿地球同步卫星在轨管理使用需求。     

面向TensorFlow和PyTorch的线性代数基准测试

传统的高性能线性代数计算库如BLAS需要开发者具备丰富的性能优化经验,使用困难。TensorFlow、Pytorch等AI框架提供了简单的开发接口,促进了机器学习应用的发展。这些AI框架大量进行线性代数计算,但是不清楚其是否针对线性代数计算进行了性能优化。设计了一组线性代数计算测试程序,评估了AI框架对的线性代数计算的...     

传感器安装对爆炸冲击测试结果影响的试验研究

为了找到爆炸冲击测试结果精确度的影响因素,利用轻气炮冲击试验装置作为冲击源,设计了专用对比工装,模拟安装过程中的实际操作因素的影响程度。以压阻式传感器为研究对象,以激光多普勒测振仪校准结果为基准,对比耦合剂种类、连接螺栓规格、表面粗糙度、安装力矩以及传感器安装数量等因素对测试结果的影响。结果表明前4种因素对冲击测试的影响较小,均在3 dB的容差范围以内;而传感器安装数量和与被测对象的连接方式对冲击测试结果影响较大。     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

A discrete event systems approach to discriminating intermittent from permanent faults

Almost all work on model-based diagnosis （MBD） potentially presumes faults are per- sistent and does not take intermittent faults （IFs） into account. Therefore, it is common for diag- nosis systems to misjudge IFs as permanent faults （PFs）, which are the major cause of the problems of false alarms, cannot duplication and no fault found in aircraft avionics. To address this problem, a new fault model which includes PFs and IFs is presented based on discrete event systems （DESs）. Thereafter, an approach is given to discriminate between PFs and IFs by diagnosing the current fault. In this paper, the regulations of （PFs and IFs） fault evolution through fault and reset events along the traces of system are studied, and then label propagation function is modified to account for PFs and the dynamic behavior of IFs and diagnosability of PFs and IFs are defined. Finally, illustrative examples are presented to demonstrate the proposed approach, and the analysis results show the fault types can be discriminated within bounded delay if the system is diagnosable.     

扩压叶栅最佳弯叶片生成线与进口马赫数之间的关系

为了研究扩压叶栅最佳弯叶片生成线与叶栅进口马赫数之间的关系,用优化的方法,在八个不同进口马赫数下对弯叶片生成线(积叠线)的弯角和弯高进行优化,优化的目标函数为叶栅总压损失系数。结果表明:在同一弯角下,弯叶片总压损失系数随弯高的增大而减小,弯高为50%时总压损失系数最小,最佳弯叶片生成线的弯高为50%。在同一弯高下,总压损失系数随弯角增大呈现类似抛物线的形式的变化规律,存在着一个最佳弯角使总压损失系数最小。在不同进口马赫数下,最佳弯角随着进口马赫数的增加而增大,通过三次多项式曲线拟合得到了一个相对准确的最佳弯角与进口马赫数之间的关系。     

Multi-h CPM遥测信号的定时频率联合估计技术

针对Multi-h CPM（Multi-h Continue Phase Modulation,多指数连续相位调制）遥测接收机的符号定时和载波频率同步问题,在分析MLSD（Maximum-likelihood Sequence Detection,最大似然序列检测）度量值是符号定时偏差和频率偏差的凸函数的基础上,提出一种基于迟/早门和升/降频门的符号定时和频率同步联合估计算法,通过似然值比较,对符号定时偏差和频率偏差进行迭代估计;并对该算法进行仿真,得到不同参数下的同步性能,给出同步参数选择建议.仿真结果表明：将该算法应用到Multi-h CPM遥测系统中,可实现低信噪比信号的快捕和高精度同步.