基于混沌特征量的雷达性能参数可预测性度量

故障预测是雷达健康管理系统的一项重要功能。在对雷达实施故障预测时,应先对性能参数的可预测性进行度量分析。首先,介绍了雷达性能监测传感器网络以及相适用的线性建模预测方法;然后,基于相空间重构理论和混沌特性量,提出一种雷达性能参数可预测性度量方法,并为确定有效时间提前量提供科学依据;最后,结合雷达信噪比参数监测序列进行实验分析,验证了所提出方法的有效性。     

机载光电雷达它机试飞技术研究

机载光电雷达受平台及大气环境影响较大,而它机试飞能有效规避研制风险,是产品研制的必经阶段。本文介绍了机载光电雷达它机试飞试验系统组成、试验流程和数据处理等内容。经工程验证,实施过程满足任务需求,对其他光电系统的它机及本机试飞具有参考价值。     

基于谱约束的生成对抗网络图像数据生成研究

数据匮乏是深度学习面临的一大难题。利用生成对抗网络(GAN)能够基于语义生成新的图像数据这一特性,提出一种基于谱约束的生成对抗网络图像数据生成方法,该方法针对卷积生成对抗网络模型易崩溃不收敛的问题,从每层神经网络的参数矩阵W的谱范数角度出发,引入谱范数归一化网络参数矩阵,将网络梯度限制在固定范围内,减缓判别网络收敛速度,从而提高GAN的训练稳定性。实验表明,通过该方法生成的数据相比原始GAN以及DCGAN、WGAN等生成的图像样本数据在图像识别网络中具有更高的准确率,能够对少量样本数据进行有效扩充。     

基于DSP的多元数据同步采集与存储系统的设计与实现

从硬件和软件两个角度出发,介绍基于DSP的多元数据同步采集与存储系统的组成、工作模式以及功能的测试。系统主要由上位机和数字采集与存储单元组成,其中数字采集与存储单元的硬件部分包括电源模块,值班电路模块,数据采集模块,数据存储模块,时钟同步模块。系统采用DSP作为中央处理芯片,利用经过同步后的秒脉冲作为触发信号,实现同步数据采集。以CF卡作为存储介质,实现数据自容式存储。软件部分实现自检、同步、数据采集存储功能。经过测试,系统工作稳定,功能正常,同步精度在100ns以内。     

SDN‐based dynamic multipath forwarding for inter–data center networking

Equal‐cost multipath (ECMP)–based traffic engineering (TE) methods are commonly used in intra–data center (DC) networks to improve the transmission performance for east‐west traffic (ie, traffic from server to server within a DC). However, applying ECMP on inter‐DC wide area network (WAN) offers limited performance enhancement as a result of irregular network topology. Since TE can be intelligently and efficiently realized with software‐defined networking (SDN), SDN‐based multipath becomes a popular option. However, SDN suffers from scalability issue caused by limited ternary content‐addressable memory (TCAM) size. In this paper, we propose an SDN‐based TE method called dynamic flow‐entry‐saving multipath (DFSM) for inter‐DC traffic forwarding. DFSM adopts source‐destination–based multipath forwarding and latency‐aware traffic splitting to reduce the consumption of flow entries and achieve load balancing. The evaluation results indicate that DFSM saves 15% to 30% of system flow entries in practical topologies and reduces the standard deviation of path latencies from 10% to 7% than do label‐switched tunneling, and also reduces average latency by 10% to 48% by consuming 6% to 20% more flow entries than do ECMP in less‐interconnected topologies. Note that the performance gain may not always be proportional to flow entry investment, with the interconnectivity between nodes being an important factor. The evaluation also indicates that per‐flow provision consumes several times the flow entries consumed by DFSM but reduces latency by 10% at most. Besides, DFSM reduces the standard deviation of path latencies from 14% to 7% than do even traffic splitting.     

Software‐defined network‐enabled opportunistic offloading and charging scheme in multi‐unmanned aerial vehicle ecosystem

Unmanned aerial vehicles (UAVs) are autonomous fliers, which can play different roles in modern day applications. In one of the important role, UAVs can act as aerial data forwarding nodes for communication range enhancement in remote areas. UAVs form a web of drones, which can be geo‐distributed across a large area to serve various applications. However, the two major contradicting challenges with respect to multi‐UAV networks are channel congestion and flight time enhancement. The use of effective data transmission techniques to handle congestion can lead to higher battery dissipation, which in turn end up in the reduction in flight time. However, it is utmost necessity to provide an effective framework, which can provide a viable solution for handling congestion in multi‐UAV networks while enhancing the flight time of UAVs. To handle these issues, software‐defined network (SDN)–enabled opportunistic offloading and charging scheme (SOOCS) in multi‐UAV ecosystem is designed in this paper. In this scheme, an opportunistic offloading scheme is proposed, which uses an SDN‐based control model to handle congestion issues. Apart from this, an opportunistic energy‐charging scheme is designed, wherein the UAVS can either replenish their batteries using solar plates or they can wirelessly charge energy from charging points deployed at various geo‐distributed locations. The proposed scheme is evaluated using a simulation‐based study over the realistic deployment of charging points in Chandigarh City, India. The results obtained show the superiority of SOOCS over other variants of its category in terms of end‐to‐end delay, throughput, and hand‐over latency.     

液压起货机变频调速系统设计和特性分析

传统的液压起货机存在效率低、噪音大、维护成本高等问题,难以满足现代节能环保的发展要求。变频液 压调速从源头上解决功率匹配问题,电机始终处在高效率的工作状态,避免了电机和液压泵的高速连续运 转,提高了设备的可靠性、使用寿命和能源利用率。本文提出在起货机上运用变频液压调速系统的设计方 案,并对其工作特性进行了分析。     

采用 DWA技术的多位Σ-Δ调制器的设计

设计一个内部采用2位量化器的二阶单环Σ‐Δ调制器．为解决反馈回路中多位DAC元件失配导致的信号谐波失真问题,该调制器采用了数据加权平均（Data Weighted Averaging ,DWA ）技术来提高多位DAC的线性度．Σ‐Δ调制器信号带宽为50 kHz ,过采样率（OSR）为64,采用MXIC公司的0．35μm混合信号CMOS工艺实现,工作电压为12 V ．后仿真结果显示,在电容随机失配5％的情况下,该调制器可以达到55．8 dB的信噪比（SNR）和60.4 dB的无杂散动态范围（SFDR）．打开DWA电路比关闭DWA电路的情况下,SNR和SFDR分别提高8 dB和13 dB ．整个调制器功耗为48 mW ,面积仅为0.6mm2．     

基于轨迹位置形状相似性的隐私保护算法

为了降低轨迹数据发布产生的隐私泄露风险,提出了多种轨迹匿名算法。然而,现有的轨迹匿名算法在计算轨迹相似性时忽略了轨迹的形状因素对轨迹相似性的影响,因此产生的匿名轨迹集合的可用性相对较低。针对这一问题,提出了一种新的轨迹相似性度量模型,在考虑轨迹的时间和空间要素的同时,加入了轨迹的形状因素,可以在多项式时间内计算定义在不同时间跨度上的轨迹的距离,能够更加准确、快速地度量轨迹之间的相似性;在此基础上,提出了一种基于轨迹位置形状相似性的隐私保护算法,最大限度地提高了聚类内部轨迹的相似性,并且使用真实的原始位置信息形成数据"面罩",满足了轨迹k-匿名,在有效地保护轨迹数据的同时,提高了轨迹数据的可用性;最后,在合成轨迹数据集和真实轨迹数据集上的实验结果表明,本算法花费更少的时间代价,具有更高的数据可用性。     

高动态临近空间飞行器海上组网测控方案设计

为解决高动态临近空间飞行器海上测控对测量船数量需求较多、现有船队规模无法满足的难题,在分析测控需求特点的基础上,提出了一种基于测量船与临近空间飞艇组网测控的新模式。结合近中程、远程飞行试验分别进行了测控总体方案设计,并讨论了海上组网测控需要研究的关键技术。相关研究对我国后续开展高动态临近空间飞行器海上测控系统建设具有一定的参考价值。