无人船数据链SC-FDE突发信号载波同步方法

设计了一种适用于无人船组网数据链的SC-FDE突发通信时隙的帧结构,通过计算前导序列和独特字(UW)序列的自相关函数,调整差分相关长度,提出一种适用于多模式帧结构的载波同步方法。最后,通过仿真评估了所提出算法在不同条件下的有效频偏估计范围、频偏估计精度等性能,为算法工程实现的主要设计参数提供参考。     

Decentralized formation pose estimation for spacecraft swarms

For spacecraft swarms, the multi-agent localization algorithm must scale well with the number of spacecraft and adapt to time-varying communication and relative sensing networks. In this paper, we present a decentralized, scalable algorithm for swarm localization, called the Decentralized Pose Estimation (DPE) algorithm. The DPE considers both communication and relative sensing graphs and defines an observable local formation. Each spacecraft jointly localizes its local subset of spacecraft using direct and communicated measurements. Since the algorithm is local, the algorithm complexity does not grow with the number of spacecraft in the swarm. As part of the DPE, we present the Swarm Reference Frame Estimation (SRFE) algorithm, a distributed consensus algorithm to co-estimate a common Local-Vertical, Local-Horizontal (LVLH) frame. The DPE combined with the SRFE provides a scalable, fully-decentralized navigation solution that can be used for swarm control and motion planning. Numerical simulations and experiments using Caltech’s robotic spacecraft simulators are presented to validate the effectiveness and scalability of the DPE algorithm.     

Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter,Unscented Kalman Filter and Extended Kalman Filter

This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman Filter and Unscented Kalman Filter. Currently these estimators are the subject of great interest in attitude estimation problems, however, mostly the Extended Kalman Filter has been applied to real problems of this nature. In order to evaluate the behavior of the Extended Kalman Filter, Unscented Kalman Filter and Cubature Kalman Filter algorithms when submitted to realistic situations, this paper uses real data of sensors on-board the CBERS-2 remote sensing satellite (China Brazil Earth Resources Satellite). It is observed that, for the case studied in this article, the filters are very competitive and present advantages and disadvantages that should be dealt with according to the requirements of the problem.     

Application of novel force control strategies to enhance robotic abrasive belt grinding quality of aero-engine blades

Robotic belt grinding has emerged as a finishing process in recent years for machining components with high surface finish and flexibility.The surface machining consistency, however,is difficult to be guaranteed in such a process.To overcome this problem, a method of hybrid force-position control combined with PI/PD control is proposed to be applied in robotic abrasive belt grinding of complex geometries.Voltage signals are firstly obtained and transformed to force information with signal conditioning methods.Secondly, zero drift and gravity compensation algorithms are presented to calibrate the F/T transducer which is installed on the robot end-effector.Next, a force control strategy combining hybrid force-position control with PI/PD control is introduced to be employed in robotic abrasive belt grinding operations where the force control law is applied to the Z direction of the tool frame and the positon control law is used in the X direction of the tool frame.Then, the accuracy of the F/T transducer and the robotic force control system is analyzed to ensure the stability and reliability of force control in the robotic grinding process.Finally, two typical cases on robotic belt grinding of a test workpiece and an aero-engine blade are conducted to validate the practicality and effectiveness of the force control technology proposed.     

美国蒙特克莱尔州立大学内部管理机制及特点

研究美国高等教育的管理模式。以蒙特克莱尔州立大学的管理机制为例,探讨该大学共同治理、分权制衡、管理充分民主化、突出学术主体地位的管理特色。美国大学在管理过程中也存在诸多问题,但其分权式管理模式便于权力间的互相监督和互相制约。为我国大学的管理改革提供有效参考。     

指数分布的预测问题

对指数分布的单样、双样预测问题，进行了详细的讨论，这对寿命服从指数分布的产品的寿命试验有指导意义．     

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.     

A novel LAAS pseudo-range error over-bound method based on improved pseudo-range error distribution model

The high level of safety demand of civil aviation requests local area augmentation system (LAAS) extremely high navigation integrity performance. A new LAAS pseudo-range error overbound method is proposed in this paper to improve the integrity of LAAS. Firstly, a more practical pseudo-range error distribution model is established. Then, by calculating the relationship between the statistical uncertainty of the model parameter and the integrity risk, a new method is proposed to calculate the pseudo-range error over-bound model. This method can effectively reduce the inflation factor and the resulting conservativeness of the over-bound model. Comparative experiments show that the method proposed in this paper performs better and satisfies the requirements of real applications.     

轻型通用飞机起飞总重估算方法研究

飞机的起飞总重是飞机的重要设计参数,概念设计阶段首先要做的重要工作之一就是确定飞机的起飞总重。以四人座低速活塞螺旋桨飞机为例,采用任务剖面法和商载航程法分别对起飞总重进行了估算,并对两种方法进行了修正,在此基础上,取两个计算结果的平均值作为最终的起飞总重估算值。通过与对比机型的比较,验证修正后的计算方法和结果是准确合理的,为通用飞机起飞总重的确定和选择提供了参考。     

频域内参数估计

研究了在频域中利用方程误差法结合递推的傅里叶变换技术进行线性系统实时参数估计的方法。分别从频域中的方程误差法、递推的傅里叶变换和计算频率范围选择三个地参数估计进行了较详细地分析。通过结某型战斗机进行模拟计算，结果表明：该方法能自动过滤噪声；占用计算机内存固定；计算量小；不需要输入任何初值并在计算中调整任何参数；所估计的参数值能够在系统模态周期１．０￣１．５倍的时间内逼近真值，即使在信号水平较低的情