T／R组件自动测试系统的研制

本文论述了有源相控阵雷达T／R组件自动测试系统的组成和原理，包括脉冲S参数自动测试分系统原理和非S参数自动测试分系统集成技术。介绍了PNA脉冲网络分析仪自动控制的实现和系统测试软件的设计，给出了该T／R组件自动测试系统实现的主要技术指标。     

美国将实现运营网络信息共享

美国联合规划发展办公室（JPDO）在2025年实现的新一代航空运输系统（NGATS）愿景中提出了要建立包括网络化运营（NEO）能力在内的8个方面的内容。前不久NEO样机已在波音实验室进行了成功演示，它表明美国现有的空管系统和正在开发的新系统与军方指挥中心很快就能实现实时数据的无缝交换，共享不同地区的，准确的空中交通信息。     

BP网络进行0-9十个数字图像的识别

在BP算法和数字图像处理技术的基础上,本文在MATLAB软件环境下提取Word文档中26种字体的0-9十个数字的图像,使用MATLAB神经网络工具箱及图像处理工具箱进行数字的识别,给出了较详细的处理步骤及相关程序,并比较了各种识别算法的收敛速度和识别率。     

基于耦合结构的双向可调无源互调参考源

文章针对无源互调测试领域中亟待解决的无源互调仪器测试校准问题提出了一种基于二极管非线性的人工可调互调参考源设计方法,该种结构使用新型的功率耦合电路网络实现了在双端口双向状态下同时输出可控的无源互调参考信号,两种验证拓扑均可在双路43dBm 载波激励情况下产生小于-110dBm 的可调三阶交调。这种被验证的双路互调参考输出结构在保留反射互调校准功能同时使得传输互调校准也成为可能。针对不同的测试需求还可以通过改变电路结构实现不同的互调调节区间,从而满足不同的互调动态范围的测试需求。在实际互调测试过程中,通过将该人工互调源接入测试回路同时调整偏置电压值,可实现在线的动态互调参考发生及互调测试仪器校准。该电路结构及基于该种结构的校准方法将有助于分析无源互调测试系统的误差水平并进一步指导提高互调仪器的测试准确度。     

区域运输规划模型系统

提出一种区域运输规划模型系统,以求从定量的角度,预测一个区域内的货物运输量,继而确定这些运输量对该区域内存在的多种运输方式的偏好结构,最后仿真这些运量在相应的各种运输网络上的分布情况,同时仿真模型还对运输网线路经过新建或扩建后所形成的新的运量分布进行模拟。根据运量分布情况,就可提出初步的规划建设方案。     

立方体星的技术发展和应用前景

系统论述了立方体星技术发展的三个阶段;从2010-2013年已成功发射的立方体星与纳卫星中挑选了10颗典型卫星,研究分析其技术水平、应用价值和特点优势;并重点论述了立方体纳卫星的应用;最后预测了立方体纳卫星的未来应用前景。     

导引头量测故障下的增量式三维制导律设计

考虑导引头量测故障下拦截机动目标的末制导问题,以提高制导系统的鲁棒性、降低制导增益、减小系统残差、避免视线角速率剧烈振荡/发散为目的,基于增量式控制方法设计了一种具有鲁棒增强特性的三维末制导律。首先,将末制导问题转化为零化视线角速率的控制问题。其次,通过弹目相对距离及视线角速率定义辅助变量,给出传统的滑模制导律作为设计参考。然后,基于增量式非线性动态逆滑模控制方法,充分挖掘视线角加速度估计信息及上一采样时刻的制导指令,得到增量式三维鲁棒制导律。最后,在目标机动及导引头量测故障下,分析并比较了两种制导律所产生的系统残差。理论分析及多工况仿真结果表明,增量式制导律不仅对目标机动及大范围失效的导引头量测故障具有强鲁棒性,而且所需制导增益也较小,同时避免了末端视线角速率严重发散的问题     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Optimization of beamforming and path planning for UAV-assisted wireless relay networks

Recently, unmanned aerial vehicles （UAVs） acting as relay platforms have attracted considerable attention due to the advantages of extending coverage and improving connectivity for long-range communications. Specifically, in the scenario where the access point （AP） is mobile, a UAV needs to find an efficient path to guarantee the connectivity of the relay link. Motivated by this fact, this paper proposes an optimal design for beamforming （BF） and UAV path planning. First of all, we study a dual-hop amplify-and-forward （AF） wireless relay network, in which a UAV is used as relay between a mobile AP and a fixed base station （BS）. In the network, both of the AP and the BS are equipped with multiple antennas, whereas the UAV has a single antenna. Then, we obtain the output signal~to-noise ratio （SNR） of the dual-hop relay network. Based on the criterion of maximizing the output SNR, we develop an optimal design to obtain the solution of the optimal BF weight vector and the UAV heading angle. Next, we derive the closed-form outage probability （OP） expression to investigate the performance of the dual-hop relay network conveniently. Finally, computer simulations show that the proposed approach can obtain nearly optimal flying path and OP performance, indicating the effectiveness of the proposed algorithm. Furthermore, we find that increasing the antenna number at the BS or the maximal heading angle can significantly improve the performance of the considered relay network.