Performance analysis of PPP ambiguity resolution with UPD products estimated from different scales of reference station networks

Integer ambiguity fixing with uncalibrated phase delay (UPD) products can significantly shorten the initialization time and improve the accuracy of precise point positioning (PPP). Since the tracking arcs of satellites and the behavior of atmospheric biases can be very different for the reference networks with different scales, the qualities of corresponding UPD products may be also various. The purpose of this paper is to comparatively investigate the influence of different scales of reference station networks on UPD estimation and user ambiguity resolution. Three reference station networks with global, wide-area and local scales are used to compute the UPD products and analyze their impact on the PPP-AR. The time-to-first-fix, the unfix rate and the incorrect fix rate of PPP-AR are analyzed. Moreover, in order to further shorten the convergence time for obtaining precise positioning, a modified partial ambiguity resolution (PAR) and corresponding validation strategy are presented. In this PAR method, the ambiguity subset is determined by removing the ambiguity one by one in the order of ascending elevations. Besides, for static positioning mode, a coordinate validation strategy is employed to enhance the reliability of the fixed coordinate. The experiment results show that UPD products computed by smaller station network are more accurate and lead to a better coordinate solution; the PAR method used in this paper can shorten the convergence time and the coordinate validation strategy can improve the availability of high precision positioning.     

Research on vibration suppression of a mistuned blisk by a piezoelectric network

The work aims to provide a further investigation of the dynamic characteristics of an integral bladed disk(also called ‘blisk') with a Parallel Piezoelectric Network(PPN). The PPN is constructed by parallelly interconnecting the piezoelectric patches distributed in the blisk. Two kinds of PPN are considered, namely mono-periodic PPN and bi-periodic PPN. The former has a piezoelectric patch in each sector, and the later has one patch every few sectors. The vibration suppression performance of both kinds of PPN has been studied through modal analysis, forced response analysis, and statistical analysis. The research results turn out that the PPN will only affect mechanical frequencies near the electrical frequency clusters slightly, and the bi-periodic PPN will make the nodal diameter spectrum of the modes more complex, but the amplitude corresponding to the new nodal diameter component is much smaller than that of the nodal diameter component corresponding to the mono-periodic system. The mechanical coupling between the blades and the disk plays an important role in the damping effect of the PPN, and it should be paid attention to in applications. The mono-periodic PPN can effectively suppress the amplitude magnification of the forced response induced by the mistuning of the blisk; meanwhile, it can mitigate the vibration localization of the mistuned electromechanical system. If piezoelectric patches are set only in part of the sectors, the bi-periodic PPN still has a vibration suppression ability, but the effect is related to the number and spatial distribution of the piezoelectric patches.     

专用指令集在基于FPGA的神经网络加速器中的应用#br#

近年来，表现出极其优越性能的神经网络算法对硬件算力的要求逐渐提高.在一些低功耗场景如星载系统中，拥有可编程重构、高并行等特性的FPGA是神经网络算法较为合适的硬件加速平台.为了解决传统神经网络硬件加速器设计中片内资源消耗大、各功能模块耦合性高等问题，设计实现了一套专用AI指令集并应用在了基于FPGA的神经网络加速器的设计中.文章首先介绍了该指令集的设计方案.整个指令集由指令寄存器、指令解释器、指令转发模块、内存管理单元和多个模块构成.通过该指令集可实现对不同模块的复用，降低模块之间的耦合性.并以YOLOV3 Tiny网络模型为例，对比了平铺式和指令控制式两种加速方案的逻辑资源的消耗.验证了应用专用指令集可以减少约50%的FPGA逻辑资源的使用.     

具有时变权矩阵的离散Hopfield神经网络的稳定性

研究了以并行工作模式进行演化的具有时变连接权矩阵的离散Hopfield神经网络,得到了判定网络稳定的2个充分条件,改进了已有结果。     

具有相依特性的航天测控网稳定性分析

随着信息技术的不断提升,航天测控网各系统中的耦合和依赖变得越来越强烈。针对这种具有相依特性的测控网络的稳定性问题,提出借助于相依网络的分析方法,根据信息在测控网中所起的作用,对航天测控网相依特性进行分析、研究,特别是相依网络的级联失效过程进行稳定性分析。将航天测控网划分为具有相依特性的数据信息和控制信息,通过针对单侧网络进行蓄意攻击,研究不同控制信息模式下航天测控系统的稳定性,提出构建稳定、高效的测控网的方法。仿真结果表明,在数据信息遭受攻击时,合理规划控制信息形态并减小控制信息规模,能够有效保障航天测控系统的稳定性。     

锂离子电池新型三维纳米结构负极研究进展

高性能锂离子电池在微/小型侦察机和空间飞行器等应用中有重要意义。构建三维纳米结构负极,是提高锂离子电池性能的有效方法。综述了国内外锂离子电池新型三维纳米结构负极材料的发展,将其分为3种类型,分别是三维纳米多孔结构、三维纳米阵列结构和三维纳米网络结构。涉及的材料包括碳类材料、合金类材料与过渡金属氧化物材料。相对于传统二维平面负极,三维纳米结构电极可以减小离子迁移距离、增加电极/电解液界面面积、缓冲活性材料充放电体积变化,从而可以提高材料的储能容量,提高电极的循环稳定性,改善电极的倍率性能。     

Intelligent modeling and identification of aircraft nonlinear flight

In this paper, a new approach has been proposed to identify and model the dynamics of a highly maneuverable fighter aircraft through artificial neural networks（ANNs）. In general, aircraft flight dynamics is considered as a nonlinear and coupled system whose modeling through ANNs, unlike classical approaches, does not require any aerodynamic or propulsion information and a few flight test data seem sufficient. In this study, for identification and modeling of the aircraft dynamics, two known structures of internal and external recurrent neural networks（RNNs） and a proposed structure called hybrid combined recurrent neural network have been used and compared.In order to improve the training process, an appropriate evolutionary method has been applied to simultaneously train and optimize the parameters of ANNs. In this research, it has been shown that six ANNs each with three inputs and one output, trained by flight test data, can model the dynamic behavior of the highly maneuverable aircraft with acceptable accuracy and without any priori knowledge about the system.     

区域创新能力与产业集群的内在关系研究述评与展望

在我国实施创新驱动发展战略的基础上,对产业集群的产生与发展、影响产业集群发展的因素、国外区域创新能力研究动态、产业集群与区域创新能力内在关系研究等方面进行文献阅读,并梳理其研究脉络,最后提出目前研究所遇到的主要问题与未来发展方向。     

仪表着陆系统设备混合监控网络构建

针对传统仪表着陆系统设备"点-点"遥控监控方式易中断,影响运行安全这一问题,提出了一种基于光纤与线缆的"多点-环网"混合监控方案。光纤与线缆互为补充,互为备份,并且当某路监控链路故障时,可自动选择其它监控路径,有效提高仪表着陆系统设备监控效率,增加监控冗余度,为我国民用机场导航监控提供一种新思路。该方案已经成功在重庆江北机场运行。     

基于改进A~*算法的进离场航线网络3D规划

为提高终端空域航线设计的自动化水平,对进离场航线进行了研究。针对独立航线规划,提出角度扩展航路点搜索方法,提高算法运行效率。选取水平剖面经济性最优为目标函数,垂直剖面满足最优爬升/下降剖面,实现3D航线网络规划。实例结果表明,在保证航线安全性、经济性的同时,算法运行稳定,效率明显提高。