Adaptive suppression of passive intermodulation in digital satellite transceivers

For the performance issues of satellite transceivers suffering passive intermodulation interference,a novel and effective digital suppression algorithm is presented in this paper.In con trast to analog approaches,digital passive intermodulation (PIM) suppression approaches can be easily reconfigured and therefore are highly attractive for future satellite communication systems.A simplified model of nonlinear distortion from passive microwave devices is established in consid eration of the memory effect.The multiple high-order PIM products falling into the receiving band can be described as a bilinear predictor function.A suppression algorithm based on a bilinear poly nomial decorrelated adaptive filter is proposed for baseband digital signal processing.In consideration of the time-varying characteristics of passive intermodulation,this algorithm can achieve the rapidness of online interference estimation and low complexity with less consumption of resources.Numerical simulation results show that the algorithm can effectively compensate the passive intermodulation interference,and achieve a high signal-to-interference ratio gain.     

High temporal resolution global PWV dataset of 2005–2016 by using a neural network approach to determine the mean temperature of the atmosphere

Atmospheric water vapour plays an important role in phenomena related to the global hydrologic cycle and climate change. However, the rapid temporal–spatial variation in global tropospheric water vapour has not been well investigated due to a lack of long-term, high-temporal-resolution precipitable water vapour (PWV). Accordingly, this study generates an hourly PWV dataset for 272 ground-based International Global Navigation Satellite System (GNSS) Service (IGS) stations over the period of 2005–2016 using the zenith troposphere delay (ZTD) derived from global-scale GNSS observation. The root mean square (RMS) of the hourly ZTD obtained from the IGS tropospheric product is approximately 4 mm. A fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ECMWF ERA5) is used to obtain hourly surface temperature (T) and pressure (P), which are first validated with GNSS synoptic station data and radiosonde data, respectively. Then, T and P are used to calculate the water vapour-weighted atmospheric mean temperature (Tm) and zenith hydrostatic delay (ZHD), respectively. T and P at the GNSS stations are obtained via an interpolation in the horizontal and vertical directions using the grid-based ERA5 reanalysis dataset. Here, Tm is calculated using a neural network model, whereas ZHD is obtained using an empirical Saastamoinen model. The RMS values of T and P at the collocated 693 radiosonde stations are 1.6 K and 3.1 hPa, respectively. Therefore, the theoretical error of PWV caused by the errors in ZTD, T and P is on the order of approximately 2.1 mm. A practical comparison experiment is performed using 97 collocated radiosonde stations and 23 GNSS stations equipped with meteorological sensors. The RMS and bias of the hourly PWV dataset are 2.87/?0.16 and 2.45/0.55 mm, respectively, when compared with radiosonde and GNSS stations equipped with meteorological sensors. Additionally, preliminary analysis of the hourly PWV dataset during the EI Niño event of 2014–2016 further indicates the capability of monitoring the daily changes in atmospheric water vapour. This finding is interesting and significant for further climate research.     

Particle swarm optimization applied to hypersonic reentry trajectories

This paper presents the novel use of the particle swarm optimization(PSO)to generate the end-to-end trajectory for hypersonic reentry vehicles in a quite simple formulation.The velocitydependent bank angle profile is developed to reduce the search space of unknown parameters based on the constrained PSO algorithm.The path constraints are enforced by setting the fitness function to be infinite on condition that the particles violate the maximum allowable values.The PSO algorithm also provides a much easier means to satisfy the terminal conditions by adding penalty terms to the fitness function.Furthermore,the approximate reentry landing footprint is fast constructed by incorporating an interpolation model into the standardized bank angle profiles.Numerical simulations demonstrate that the PSO method is a feasible and flexible tool to generate the end-to-end trajectory and landing footprint for hypersonic reentry vehicles.     

无源滤波器频率漂移的一种迭代算法

文章介绍了无源滤波器在试验过程中产生的典型幅频特性漂移曲线，并针对这些典型曲线提出了基于均方误差最小原则和牛顿迭代的频率漂移算法。     

预燃式等离子体射流点火器工作特性实验研究

为解决发动机点火包线小于飞行包线的实际问题,提供等离子体点火技术在航空发动机中的工程应用新思路,论文设计了一种预燃式等离子体射流点火器,实验研究了放电特性和射流特性。结果表明,预燃式等离子体射流点火器与空气等离子体射流点火器相比,在提升射流能量降低电源功率方面有着较大的优势,电流相同时通入甲烷在较大流量时可减小驱动电源功率,总流量为44L/min时,减幅可达14.99%;同时预燃式等离子体射流较空气等离子体射流稳定,且射流长度增加,扩大了点火面积,有利于点火。     

基于Kalman滤波的变体飞行器T-S模糊控制

针对变体飞行器的跟踪控制问题,提出了一种基于Kalman滤波的T-S模糊控制方法。考虑飞行器系统状态不可测,引入惯导数据作为辅助信息,利用Kalman滤波算法融合飞控信息与惯导信息实现状态估计。由于变体飞行器在不同变形结构下气动特性变化较大,为便于控制器设计,采用小扰动线性化方法得到飞行器在不同平衡点处的局部线性模型,并通过状态反馈方法设计局部控制器,局部线性模型和局部控制器通过模糊集和模糊规则聚合成一个连续光滑的全局T-S模糊模型和T-S模糊控制器。通过综合Kalman滤波器与T-S模糊控制器得到一个基于Kalman滤波的T-S模糊控制器。仿真结果表明,该控制器在变形过程中能够实现状态估计,保证飞机的跟踪性能。     

基于DSP的自适应桁架振动控制器设计

重量轻、功耗低、处理能力强的控制器对自适应桁架的空间应用具有重要意义。本文以自适应桁架空间应用为背景,进行了控制器的小型化设计。以DSP芯片TMS320VC33为核心,实现了自适应桁架振动控制器硬件,并开发了相应的控制程序。采用4阶线性二次型高斯(LQG)离散控制模型,在自适应桁架实验平台上进行了振动抑制实验。实验表明,以DSP为核心的小型化控制器能够实现对自适应桁架振动的有效抑制,达到了与dSPACE控制器相同的控制效果。     

宽带高集成多级射频互连技术

针对微波电路三维集成结构的迫切需求,开展宽带高集成多级射频互连技术研究。主要设计了两种电路结构,多级水平互连电路与多级垂直互连电路。多级水平互连电路中,通过优化同轴-微带线的水平过渡以及倒角过渡方式,得到在DC～30GHz内的仿真结果,回波损耗优于21dB,插入损耗优于0.16dB;多级垂直互连电路中,通过优化BGA板间互连结构,得到在DC～30GHz内的仿真结果,信号的回波损耗优于13dB,插入损耗优于0.57dB。在小型化、高集成的需求下,宽带高集成多级射频互连技术是解决宽带射频信号传输问题的关键技术路径,可以广泛应用在微波电路三维集成结构中,具有重大的应用前景。     

智能天地一体化网络的卫星跟踪测控技术综述

随着卫星互联网和我国航天测控技术的不断进步,航天测控网络朝着智能化、一体化的方向发展,在自主测控、资源分配等方面进展良好。因此,建立智能天地一体化的航天测控网是我国航天未来发展的重要目标。针对智能航天测控网中的跟踪测轨、遥测和遥控三个方面,分别介绍了相关原理与技术。同时,结合CCSDS提出的空间数据链路标准协议详细介绍了TM、TC、AOS、Proximity-1以及USLP标准,分析了不同标准所使用的技术与实际应用。本文从数据链路层和物理层的角度介绍了智能航天测控系统的工作原理及技术要求,为我国智能天地一体化卫星测控通信网的研究提供参考并予以展望。     

永磁同步电机驱动太阳翼扰动力矩建模与仿真

建立太阳翼驱动机构(SADA)永磁同步电机的电磁方程,并利用固定界面模态综合法建立SADA驱动太阳翼耦合系统的振动方程;设计模拟柔性负载,对SADA驱动该柔性负载的扰振力矩进行仿真分析。结果表明,SADA驱动柔性负载运行过程中所产生扰振力矩主要由两个原因引起：1)电流噪声引起的力矩波动;2)控制参数选取不当引起的转角波动。