基于ISODATA模糊系统的飞船落点选优方法

针对如何从基于分布式并行计算获得的数千个飞船返回过程预报落点中优选出＂最可能＂落点这一问题,在充分考虑以往返回落点计算的先验知识和最新落点信息的基础上,设计了飞船返回的自适应聚类模糊系统,采用含有时间因子的迭代自组织数据分析算法研究了返回舱落点优选方法。最后,利用＂神舟八号＂返回落点实测数据进行模型检验。计算结果表明,该方法的落点预报精度较传统选优算法的预报精度高50%以上,同时具有较好的稳定性,可为飞船返回搜救提供技术支撑。     

A novel data association scheme for LEO space debris surveillance based on a double fence radar system

The increasing amount of space debris threatens to seriously deteriorate and damage space-based instruments in Low Earth Orbit (LEO) environments. Therefore, LEO space debris surveillance systems must be developed to provide situational awareness in space and issue warnings of collisions with LEO space debris. In this paper, a double fence radar system is proposed as an emerging paradigm for LEO space debris surveillance. This system exhibits several unique and promising characteristics compared with existing surveillance systems. In this paper, we also investigate the data association scheme for LEO space debris surveillance based on a double fence radar system. We also perform a theoretical analysis of the performance of our proposed scheme. The superiority and the effectiveness of our novel data association scheme is demonstrated by experimental results. The data used in our experiments is the LEO space debris catalog produced by the North American Air Defense Command (NORAD) up to 2009, especially for scenarios with high densities of LEO space debris, which were primarily produced by the collisions between Iridium 33 and Cosmos 2251. We hope that our work will stimulate and benefit future work on LEO space debris surveillance approaches and enable construction of the double fence radar system.     

Investigation into Pilot Handling Qualities in Teleoperation Rendezvous and Docking with Time Delay

Teleoperation rendezvous and docking can be used as a backup for autonomous rendezvous and docking(RVD) for an unmanned spacecraft when the autonomous system is failure or for guiding the chaser docking with an uncooperative target.The theoretical model for analyzing the handling qualities in teleoperation RVD process is established based on the previous studies conducted by National Aeronautics and Space Administration(NASA).The predictive factor is introduced to describe the pilot’s predictive ability in the teleoperation tasks with time delay,which interrelates with the skills of a pilot and the predictive assist approach used in the tasks such as the predictive display method.Based on the semi-physical simulation system in our laboratory,900 experiments at two levels of time delay are carried out by 18 volunteers for validating the established model.The experimental results demonstrate the correctness of the theoretical model and indicate that a skilled pilot has a predictive ability of approximately 0.9 in teleoperation RVD tasks.The theoretical analysis shows that the handling qualities are greatly affected by the time delay and the predictive factor,and it is impossible to achieve a teleoperation RVD task for the skilled pilot when the time delay is larger than 9.0 s.     

无源跟踪观测信息的融合优化滤波算法研究

为充分利用探测设备可测得的到达时间、到达方向和多普勒频率等空域、时域与频域信息,提出了一种新的单站无源定位系统数据融合优化滤波算法。给出了算法的基本原理及其模型。仿真结果表明：与传统算法相比,该算法具更好的定位精度和收敛速度,是一种有效、可行的定位算法。     

高速16QAM数据传输技术研究

文章简要介绍16QAM技术及其性能特点,介绍国外16QAM技术的应用情况和最新技术,重点对TWTA非线性对16QAM传输影响进行仿真和分析;针对16QAM传输体制,提出减小非线性影响的方案,同时对16QAM需求和应用前景进行了分析。     

基于数据链的三维航迹规划算法研究

基于数据链的三维航迹规划算法研究对保障飞行器的任务完成和提高其自身的生存能力都很有意义。本文深入研究了A*算法的改进和应用问题,结合数据链通信的条件,改进基于A*算法的三维航迹规划算法。研究了数据链在航迹规划中的作用及通讯模型,并研究了在数据链通信情况下的基于A*算法的离线、在线、针对移动目标、可重选目标的航迹规划方法,并进行了软件仿真,验证了方案的有效性。     

钢丝绳检测数据的可靠性评定方法

该系统对钢丝绳试验站检验数据及日数据微机处理。通过原始数据的录入，可以自动生成成试验站用各种报表、判断是否符合《煤矿安全规程》并进行可靠性评定。     

航空发动机装配技术状态数据模型研究

提出一种装配工艺与质量检验集成的机型装配技术状态数据网络模型,表达了发动机、装配任务、装配工艺、装配工序、检验项等之间的关联关系.提出了一种发动机装配技术状态数据网络模型,不仅可以表达发动机与机型装配技术状态数据模板之间的实例化关系,而且便于换件后的装配技术状态维护.设计了技术状态跟踪搜索算法,对比了不同发动机之间在装配技术状态上的差别,动态输出了工序与检验项的合成工艺指导卡片数据.     

A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT

Sparse signal is a kind of sparse matrices which can carry fault information and simplify the signal at the same time. This can effectively reduce the cost of signal storage, improve the efficiency of data transmission, and ultimately save the cost of equipment fault diagnosis in the aviation field. At present, the existing sparse decomposition methods generally extract sparse fault characteristics signals based on orthogonal basis atoms, which limits the adaptability of sparse decomposition. In this paper, a self-adaptive atom is extracted by the improved dual-channel tunable Q-factor wavelet transform (TQWT) method to construct a self-adaptive complete dictionary. Finally, the sparse signal is obtained by the orthogonal matching pursuit (OMP) algorithm. The atoms obtained by this method are more flexible, and are no longer constrained to an orthogonal basis to reflect the oscillation characteristics of signals. Therefore, the sparse signal can better extract the fault characteristics. The simulation and experimental results show that the self-adaptive dictionary with the atom extracted from the dual-channel TQWT has a stronger decomposition freedom and signal matching ability than orthogonal basis dictionaries, such as discrete cosine transform (DCT), discrete Hartley transform (DHT) and discrete wavelet transform (DWT). In addition, the sparse signal extracted by the self-adaptive complete dictionary can reflect the time-domain characteristics of the vibration signals, and can more accurately extract the bearing fault feature frequency.     

基于S1000D标准的飞机技术出版物结构化方法研究

飞机技术出版物结构化可实现技术出版物内容基于公共数据源的编写、管理和发布,能有效提高技术出版物的编制效率和质量。基于 S1000D 标准提出 MA700 飞机技术出版物结构化设计思路,给出结构化方法的总体流程,探讨每一步结构化方法的实现要素,重点进行结构化标准选择、技术出版物业务规则制定说明,并给出相应实例和 DMRL 制定原则。结果表明：本文提出的结构化流程和方法能够用于指导 MA700 飞机技术出版物结构化,提高 MA700 飞机技术出版物的易用性、可读性,有利于 MA700 飞机技术出版物的规范化、标准化、国际化,为基于 S1000D 的 MA700 飞机交互式电子技术出版物系统的构建和发布提供业务支持。