基于单片机实现的终端解码器的设计

在实际的生产、生活中，有时人们需要对远处的多个用电设备进行控制，这就需要将远处的用电设备和控制命令进行编码，发送到终端，利用终端解码器进行解码，实现控制功能。以MCS-51单片机为核心的终端解码器，可以把主机发送过来的控制命令进行确认、解码后发出控制电压，对终端设备进行控制，实现控制室对远处用电设备的控制。     

中国民航航管卫星通信网TES／PES系统特点分析

概述民航航管卫星通信网发展，着重分析和归纳了其主要设备—ＴＥＳ／ＰＥＳ系统的概念、组成和特点。特别是从用户使用的角度，介绍了ＴＥＳ／ＰＥＳ的功能特点     

Design and experiments of an active isolator for satellite micro-vibration

In this paper, a soft active isolator（SAI） derived from a voice coil motor is studied to determine its abilities as a micro-vibration isolation device for sensitive satellite payloads. Firstly,the two most important parts of the SAI, the mechanical unit and the low-noise driver, are designed and manufactured. Then, a rigid-flexible coupling dynamic model of the SAI is built, and a dynamic analysis is conducted. Furthermore, a controller with a sky-hook damper is designed. Finally,results from the performance tests of the mechanical/electronic parts and the isolation experiments are presented. The SAI attenuations are found to be more than 20 d B above 5 Hz, and the control effect is stable.     

分数阶混沌系统同步控制研究进展

分数阶混沌系统由于其复杂的混沌吸引子和独有的记忆特性,非常适合保密通信领域的应用。在介绍分数阶混沌系统混沌特性的基础上,重点综述了近年来分数阶混沌系统同步的研究进展,包括分数阶混沌系统模型、分数阶系统算法、分数阶混沌同步控制方法等;总结了分数阶混沌系统同步在理论和应用方面的研究现状;提出了分数阶混沌系统同步还有待进一步研究的若干方向和内容。     

湖南光电高清动中通卫星车系统

本文对湖南广电高清动中通卫星车系统进行了介绍说明,对湖南广电高清动中通卫星车系统中的动中通天线伺服控制系统、卫星通信系统、视频系统、音频系统、通话系统、集中控制系统与车体改造系统分别进行了说明;介绍了湖南广电高清动中通卫星车系统所采用的卫星通信体制、卫星链路计算结果及卫星测试结果;最后,本文介绍了动中通卫星车系统在广电领域进行高清电视实时移动转播中的应用前景。     

靶场GNSS增强、监测与评估系统建设构想

针对靶场GNSS（全球导航卫星系统）增强、监测与评估的测量精度和可靠性保障、异常分析和电磁环境监测等复杂技术需求,明确了靶场GNSS增强、监测与评估的概念,分析了各类方法的特点,确定了以大范围基准站网为主干,采用广域差分增强和地面完好性通道监测满足提高测量精度和可靠性主要需求,采用车载信号监测和干扰监测一体化系统满足不同区域间发的异常分析和电磁环境监测需求的技术路线.设计了系统体系架构,重点分析了系统实时工作模式和数据处理流程,为系统建设提供了有益的参考.     

天地一体化飞行器测控通信网络体系构建

空间信息综合应用是未来航天的发展趋势,引进网络化技术,打造天地一体化测控通信网是实现信息综合应用的必由之路.一体化测控通信网作为空间信息传输、分发的公共基础设施,将各类飞行器、地/海/空/天基测控站（接收站）及指控中心、测控中心、用户等都作为网中的标准节点,以实现测控通信任务统一指挥控制、飞行器态势综合显示、测控通信资源综合利用和可持续发展.从新时期航天科技的发展特点得出,空间网络化是必然发展趋势.总结了国内外航天网络化发展的研究成果,提出测控通信网络化的定义、未来体系结构以及实施步骤,设计了空间网络化飞行验证试验的基本方案,剖析了空间网络化体系构建的关键技术.     

Receiver-channel based adaptive blind equalization approach for GPS dynamic multipath mitigation

Aiming at mitigating multipath effect in dynamic global positioning system (GPS) satellite navigation applications, an approach based on channel blind equalization and real-time recursive least square (RLS) algorithm is proposed, which is an application of the wireless communication channel equalization theory to GPS receiver tracking loops. The blind equalization mechanism builds upon the detection of the correlation distortion due to multipath channels; therefore an increase in the number of correlator channels is required compared with conventional GPS receivers. An adaptive estimator based on the real-time RLS algorithm is designed for dynamic estimation of multipath channel response. Then, the code and carrier phase receiver tracking errors are compensated by removing the estimated multipath components from the correlators’ outputs. To demonstrate the capabilities of the proposed approach, this technique is integrated into a GPS software receiver connected to a navigation satellite signal simulator, thus simulations under controlled dynamic multipath scenarios can be carried out. Simulation results show that in a dynamic and fairly severe multipath environment, the proposed approach achieves simultaneously instantaneous accurate multipath channel estimation and significant multipath tracking errors reduction in both code delay and carrier phase.     

Modelling of air temperature using remote sensing and artificial neural network in Turkey

The aim of this research was to forecast monthly mean air temperature based on remote sensing and artificial neural network (ANN) data by using twenty cities over Turkey. ANN contained an input layer, hidden layer and an output layer. While city, month, altitude, latitude, longitude, monthly mean land surface temperatures were chosen as inputs, and monthly mean air temperature was chosen as output for network. Levenberg–Marquardt (LM) learning algorithms and tansig, logsig and linear transfer functions were used in the network. The data of Turkish State Meteorological Service (TSMS) and Technological Research Council of Turkey–Bilten for the period from 1995 to 2004 were chosen as training when the data of 2005 year were being used as test. Result of research was evaluated according to statistical rules. The best linear correlation coefficient (R), and root mean squared error (RMSE) between the estimated and measured values for monthly mean air temperature with ANN and remote sensing method were found to be 0.991–1.254 K, respectively.     

4D Lattice Flower Constellations

4D Lattice Flower Constellations is a new constellation design framework, based on the previous 2D and 3D Lattice theories of Flower Constellations, that focus on the generation of constellations whose satellites can have different semi-major axis and still present a constellation structure that is maintained during the dynamic of the system. This situation can arise when dealing with satellites with very different instruments, or when it is of interest to coordinate two different constellations. In that sense, 4D Lattice Flower Constellations constitutes the most general representation of the Flower Constellation formulation. In addition, the effects of the $J_2$ perturbation are taken into account in order to generate distributions that maintain their initial design configuration under this perturbation for longer periods of time with a low fuel budget. Finally, examples of application are presented, showing the possibilities in satellite constellation design of this new approach.