国内外遥感标准现状分析

简介国内外现有遥感标准的状况,并在梳理与分析的基础上,结合我国遥感技术的发展,对我国遥感标准化工作的规划提出发展建议.     

提高竞争力 推动军工企业管理模式创新

通过介绍目前军工制造企业特点,提出军工制造企业管理模式必须得到创新。针对管理模式创新的原则,并分析目前面临问题,阐述了创新的途径和策略,为军工制造企业管理模式的创新提供了借鉴。     

在制品库存优化控制

分析了在制品库存的作用、应设立的位置及最佳容量.建立了离散制造系统在制品库存之比例积分控制模型.再以摩托车曲轴箱体生产线为例评价了控制效果,表明在需求动态变化时PI控制较之传统的正负反馈控制能更好地使在制品库存平稳化.     

材料成型及控制专业“以赛促教，以赛促学”的教学改革探索

专业竞赛是培养学生创新能力和实践能力的一个重要手段。近几年来，我们组织材料成型及控制专业学生参加了各类竞赛，积累了经验，对材料成型及控制专业进行了以赛促教，以赛促学的教学改革探索。     

Introduction to global short message communication service of BeiDou-3 navigation satellite system

Short Message Communication (SMC) is a featured service of BeiDou Navigation Satellite System (BDS). After its successful deployment in 2003, Regional Short Message Communication (RSMC) service has been continuously serving China and its neighboring countries and regions, especially in life safety scenarios. In this paper, the architecture of the Global Short Message Communication (GSMC) system is proposed based on the medium earth orbit (MEO) constellation and the crosslinks of the global BeiDou navigation system (BDS-3). Three subtypes of GSMC service, i.e. positioning report, emergency search and rescue (SAR) and regular SMC are designed in accordance with the technical characteristic of integration of navigation and communication in BDS-3, which supports future wide applications of GSMC. The performance of the designed GSMC system is analyzed by numerical calculations. As BDS-3 was officially announced completion on July 31, 2020, GSMC has been providing initial service. First test results of the in orbit GSMC payloads are also presented in the paper to verify the designed capabilities. Preliminary results also show that the requirements of Global Maritime Distress and Safety System (GMDSS) can also be fulfilled.     

嵌入式大气数据测量系统技术研究进展

针对高超声速飞行器大气数据测量问题，对嵌入式大气数据测量系统(FADS)技术研究背景、发展历程、国内外研究现状等进行了概括。重点围绕FADS关键技术、FADS解算算法及面向FADS/INS组合测量系统信息融合算法方面，对FADS技术进行了深入的剖析。最后，展望了FADS技术未来的发展方向及应用前景。     

Command filtered sliding mode trajectory tracking control for unmanned airships based on RBFNN approximation

This paper presents two sliding mode controllers to address the trajectory tracking problem of unmanned airships in the presence of unknown wind disturbance. The sliding mode controller proposed first is designed by a fast power rate reaching law(FPRRL). The disturbance is compensated by a radial basis function neural network (RBFNN). To avoid the aggressive adaptation, the controller is augmented by a command filter. The controller provides good robustness and tracking performance with no chattering under the hypothesis of ideal wind field. However, serious chattering occurs when simulation is performed under discontinuous wind field. To simulate the wind in practice, the wind field employed in the simulation is generated by the combination of a constant field and white noise. The controller is improved subsequently with an extended model to suppress the chattering induced by the white noise. The enhanced controller manipulates the derivation of system input, thus attenuating the chattering. Stability analysis shows that both controllers drive the tracking error into a controllable small region near zero. Simulations are provided to validate the performance of the proposed controllers under different wind hypothesis.     

基于RISC芯片的32位嵌入式基本系统的设计和调试

基于ＲＩＳＣ芯片的３２位嵌入式基本系统的研究和设计是当前嵌入式星载计算机研制方面的一个重要课题，着重介绍了该ＲＩＳＣ基本系统的设计特点以及所使用的构思新颖的调试方法等两方面的研究情况。     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

特型钝体绕流动态特性的低速实验研究

在低速自由射流风洞上 ,利用热线及相关设备对由半球头部、颈部及旋成体构成的特型钝体周围非定常流动的基本特性、联合特性及湍流度分布进行了测试与分析 ,实验工况为迎角α=- 1 5°～ 1 5°、侧滑角 β =0°～ 1 0°。结果表明 ,在上述工况范围内 ,该钝体周围流场中速度脉动的能量分布平坦 ,属宽频带随机信号 ,流场中没有发生明显的流动分离 ,流场动态品质良好 ;凹陷区内气流的脉动以不同的速度向下游空间传播 ;在上述α、β变化范围内 ,钝体颈部凹陷区的最大湍流度高达 1 0 .9～ 2 4.8%。