一种用于 ACAS 的相位校准方法

校准是用于 ACAS 发射机的一项关键技术,本文给出了一种新的基于比相的实时校准方法,去除了发射通道幅度对通道相位差的影响,介绍了该方法的原理,并在 FPGA 硬件平台上完成了该方法的仿真和验证,通过实测数据的分析与处理,证明了这种方法的可行性     

Time and phase synchronization using clutter observations in airborne distributed coherent aperture radars

Airborne Distributed Coherent Aperture Radar(ADCAR) is one of the most promising next-generation radars to significantly improve target detection and discrimination abilities. However, time and phase synchronization among unit radars should be done before an ADCAR is intended to cohere on a potential target. To address this problem, a time and phase synchronization technique using clutter observations is proposed in this paper. Clutter returns from different azimuths and elevations on the surfac...     

天津市宏观税收负担问题实证分析

采用计量分析方法对天津市1978～2005年数据区间的财政收入与经济总量、宏观税负与经济增长之间的关系进行研究。在结合天津市经济发展、税收增长、产业结构变化等实际情况的基础上，试图通过揭示变量之间的数量关系来印证和探寻天津市宏观税负与地区经济发展之间的关系。发现改革开放以来，天津总体税负适度，宏观税负呈下降趋势，但滨海新区的开发将为天津提供充足的税源，因而宏观税负会有所回升；20世纪90年代以来，天津第三产业发展迅速，第三产业对经济的贡献度与宏观税负的变化呈正向反应机制，而第二产业对GDP的贡献比重总体呈下降趋势；与其他直辖市相比，天津的宏观税负水平居于中游。     

现代飞机交流电源系统的不中断供电技术

现代飞机上安装了大量的微处理机、计算机。由于电源之间正常转换而出现的电源短暂中断现象会对微处理机、计算机的工作产生干扰。研制不中断供电的电源系统已是刻不容缓的任务。本文讨论了电源正常转换时电源中断现象及原因。以现代大型飞机上的电源系统不中断供电技术为例,阐述消除电源中断的技术方案以及汇流条保护控制组件(BPCU),发电机控制组件(GCU)内有关不中断电源转换的逻辑。     

遥测帧同步最佳锁定方法

在遥测数据流存在误码的情况下 ,针对锁定帧同步的算法 ,给出如何求出该算法中最佳参数的方法 ,提出“平均入锁时间最小”是确定这些参数的重要依据。另外再综合考虑其它实际因素 ,给出 16位和 2 4位帧同步码对应的最佳参数。     

基于卫星图像数据的服务器负载策略

文章介绍了卫星数据图像的存储,论述几种集群服务器的负载策略,提出一种自适应的负载均衡策略,并对以往策略进行了对比。对分布式分包路由(DPR)技术作了深入的分析,作者在测试评估的过程中,给出一种新的集群服务器方案。     

分布式卫星精确构形保持变结构控制

分布式卫星构形精确保持是实现分布式卫星任务的关键技术。在控制模型不精确和摄动力不确定的条件下,经典控制方法在鲁棒性、动态品质和静态指标的权衡等方面存在不足。本文利用变结构控制方法,设计了分布式卫星精确构形保持的控制器,使控制方法对摄动干扰、模型不确定等具有鲁棒性,因而使构形保持方法在参考轨道存在小偏心率、摄动力存在等非理想情况下仍然可以正常进行。利用高精度动力学仿真环境,对方法的先进性进行了检验。     

Hybrid partition- and network-level scheduling design for distributed integrated modular avionics systems

Distributed Integrated Modular Avionics (DIMA) develops from Integrated Modular Avionics (IMA) and realizes distributed integration of multiple sub-function areas. Time-triggered network provides effective support for time synchronization and information coordination in DIMA systems. However, inconsistency between processing resources and communication network destroys the time determinism benefiting from partitions and time-triggered mechanism. To ensure such time determinism and achieve guaranteed real-time performance, system design should collectively provide a global communication scheme for messages in network domain and a corresponding execution scheme for partitions in processing domain. This paper firstly establishes a general DIMA model which coordinates partitioned processing and time-triggered communication, and then proposes a hybrid scheduling algorithm using Mixed Integer Programming to produce feasible system schemes. Furthermore, incrementally integrating new functions causes upgrades or reconfigurations of DIMA systems and will generate integration cost. To control such cost, this paper further develops an optimization algorithm based on Maximum Satisfiability Problem and guarantees that the scheduling design for upgraded DIMA systems inherit their original schemes as much as possible. Finally, two typical cases, including a simple fully connected DIMA system case and an industrial DIMA system case, are constructed to illustrate our DIMA model and validate the effectiveness of our hybrid scheduling algorithms.     

A multiple-CubeSat constellation for integrated earth observation and marine/air traffic monitoring

CubeSats has evolved from purely educational tools, to useful platforms for technology demonstration and many practical applications. This paper reviews a CubeSat constellation mission involving 3 CubeSats launched into orbit on Sep. 25th 2015, aiming to demonstrate the integrated application of low-cost CubeSat technologies with distributed payloads using a group of satellites, as well as to demonstrate several new technologies. The mission scenario, the satellite system design, the innovative technologies and instruments or devices used on the CubeSats and the in-orbit experimental results and the payload data analysis, as well as some experiences and lessons learned, are presented and summaried.     

Mission-driven autonomous perception and fusion based on UAV swarm

Distributed autonomous situational awareness is one of the most important foundation for Unmanned Aerial Vehicle (UAV) swarm to implement various missions. Considering the application environment being usually characterized by strong confrontation, high dynamics, and deep uncertainty, the distributed situational awareness system based on UAV swarm needs to be driven by the mission requirements, while each node in the network can autonomously avoid collisions and perform detection mission through limited resource sharing as well as complementarity of respective advantages. By efficiently solving the problems of self-avoidance, autonomous flocking and splitting, joint estimation and control, etc., perception data from multi-platform multi-source should be extracted and fused reasonably, to generate refined, tailored target information and provide reliable support for decision-making.