TOPSAR data focusing based on azimuth scaling preprocessing

Both Doppler spectral aliasing and azimuth output time folding simultaneously exist in TOPSAR (Terrain Observation by Progressive Scans) raw data. Resampling in both Doppler frequency and azimuth time domain can resolve the azimuth aliasing problem but with the seriously increased computational complexity and memory consumption. According to the special characteristics of TOPSAR raw data support in the slow time/frequency domain (TFD), the presented azimuth scaling preprocessing step is introduced to not only resolve the Doppler spectral aliasing problem but also reduce the increased azimuth samples. Furthermore, the correction of sawtoothed azimuth antenna pattern (AAP) becomes easy to be implemented. The following conventional stripmap processor can be adopted to focus the residual TOPSAR raw data but with the result of azimuth aliased TOPSAR image. The mosaic approach, which has been presented to unfold azimuth aliased ScanSAR image, is exploited to resolve the problem of azimuth output folding in TOPSAR mode. Simulation results and pulse response parameters are given to validate the presented imaging approach.     

发展性教学理论与网络环境下教学改革探讨

本文对赞科夫发展性教学理论的基本观点进行了分析,对发展性教学理论对我国教学改革的影响进行了概括,对发展性教学理论与网络环境下教学改革进行了探讨。     

IEEE1394总线接口设计

IEEE1394总线是一种应用广泛的高速实时传输总线。文章给出了一种基于TSB12LV32和TSB41AB3的IEEE1394总线接口设计方案,并对接口连接进行了详细阐述。使用DSP搭配FPGA构建事务层,与链路层、物理层一起构成完整的IEEE1394通信链路。该方案可以实现链路层和物理层的无缝链接,并且异步事务和等时...     

工艺的模块化

在机械制造生产过程中,由于零件的具体要求和生产条件等诸多因素的不同,制造合格零件的工艺方案也不尽相同。基于航天设计生产制造的特点“小批量、多品种,继承性强”,工艺的模块化对于提高产品质量和生产效率十分重要。     

超声速和高超声速横向喷流数值模拟

为了解横向喷流的干扰影响和喷口附近的流场结构,采用分块对接网格和“0”型网格技术,数值求解N—S方程来模拟超声速和高超声速流场中横向喷流的干扰流场。对两种尖拱弹身外形的超声速和高超声速喷流干扰流场进行了数值计算,计算结果与风洞实验数据吻合一致。在此基础上,开展了某型导弹多喷构型干扰流场的数值模拟,得出一些横向喷流数值模拟的结论。     

面向天基监视的红外弱小飞行目标识别算法

针对当前红外弱小飞行目标特征不明显、背景干扰大等问题,提出了一种基于深度学习的红外弱小目标识别算法。检测框架以YOLOv4模型为基础,通过使用K-means++算法对训练集的候选框进行聚类处理,在初始大小的选取上放弃随机生成初始点的方式,在样本集里选取某一个样本作为初始中心使锚框（anchor）大小的选取更加合理。在模型结构中引入卷积注意力模块,使算法模型计算资源分配更合理,对红外弱小飞行目标的特征信息更加敏感。改进空间金字塔池化模块,使用平均池化可以更多保留图像的原始信息,降低天基成像中的噪点与坏点的影响。仿真实验表明采用K-means++计算Anchor大小时准确率可以达到80.13%,在加入了SPP和CBAM模块后之后在测试集上算法识别准确率达到了83.3%,经过对模型的修改有效提升了对红外弱小飞行目标识别的准确率。     

不确定条件下采用协方差描述函数法的再入轨迹鲁棒优化

Uncertainties are taken into account in reentry trajectory optimization and a robust trajectory optimization model is constructed based on the robust optimization theory. There are computational difficulties in solving this robust trajectory optimization problem due to the random variables associated with the uncertainties. To overcome these difficulties, the covariance analysis describing function technique (CADET) is employed to convert the robust trajectory optimization model into an equivalent deterministic trajectory optimization formulation, which is then solvable by using the existing pseudo spectral method. In the case study, a robust reentry trajectory optimization problem considering the uncertainties of aerodynamic parameters is solved to obtain the robust optimal trajectories. By comparing with the traditional deterministic optimal trajectories, the robust optimal trajectories are significantly less sensitive to the uncertainties of aerodynamic parameters, showing the effectiveness of the presented method.      

超声速空腔流动数值模拟研究

采用Roe格式、S-A一方程湍流模型和LU-SGS隐式算法对三个不同类型的空腔进行了模拟,并把数值计算结果和试验结果进行了比较,二者一致.通过对流过不同L/D空腔的可压缩流动进行模拟,得到了不同L/D空腔的底部压力分布、空腔内流线、等压线和等马赫数云图,分析了空腔流动类型随L/D增大转变的机理.     

双周期带涂层纤维压电复合材料反平面问题分析

 研究双周期带涂层纤维压电复合材料反平面问题。利用Eshelby等效夹杂原理引入特征应变和特征电场,并结合双准周期Riemann边值问题理论,获得了问题在反平面机械载荷和面内电载荷作用时的解析解。由本文解的特殊情形可以退化为已有结果。数值算例考察了复合材料内部应力和电场随复合材料各组分电弹参数的变化规律,研究了纤维排列方式和纤维体积分数对复合材料有效电弹系数的影响。带涂层纤维正六边形排列时的有效电弹系数与广义自洽方法的预测结果非常接近。结果对新型航空材料的设计和优化具有参考价值。     

A Fast Global Node Selection Algorithm for Bearings-only Target Localization

In the target tracking, the nodes aggregate their observations of the directions of arrival of the target. The network then uses an extended Kalman filter （EKF） to combine the measurements from multiple snapshots to track the target. In order to rapidly select the best subset of nodes to localize the target with the minimum mean square position error and low power consumption, this paper proposes a simple algorithm, which uses the location information of the target and the network. The lower botmd of localization error is utilized according to the distances between the target and the selected active nodes. Furthermore, the direction likelihoods of the active nodes is predicted by way of the node/target bearing distributing relationships.