Multi-scale simulation model of air system based on cross-dimensional data transmission method

The Secondary Air System (SAS) plays an important role in the safe operation and performance of aeroengines. The traditional 1D-3D coupling method loses information when used for secondary air systems, which affects the calculation accuracy. In this paper, a Cross-dimensional Data Transmission method (CDT) from 3D to 1D is proposed by introducing flow field uniformity into the data transmission. First, a uniformity index was established to quantify the flow field parameter distribution characteristics, and a uniformity index prediction model based on the locally weighted regression method (Lowess) was established to quickly obtain the flow field information. Then, an information selection criterion in 3D to 1D data transmission was established based on the Spearman rank correlation coefficient between the uniformity index and the accuracy of coupling calculation, and the calculation method was automatically determined according to the established criterion. Finally, a modified function was obtained by fitting the ratio of the 3D mass-average parameters to the analytical solution, which are then used to modify the selected parameters at the 1D-3D interface. Taking a typical disk cavity air system as an example, the results show that the calculation accuracy of the CDT method is greatly improved by a relative 53.88% compared with the traditional 1D-3D coupling method. Furthermore, the CDT method achieves a speedup of 2 to 3 orders of magnitude compared to the 3D calculation.     

无人机协同测控中SC-FDMA技术设计

针对无人机协同任务测控传输的多机接入问题,提出基于分布式任务分配模型的高动态SC-FDMA技术.通过将贪婪原则、信道动态分配机制和多用户接入技术结合,利用集中映射方式设计子信道数目可调的映射规则,配置各无人机节点所占用子载波数目.仿真结果表明,与传统FDMA、CDMA、TDMA、OFDMA等相比,基于SC-FDMA设计...     

Green UAV communications for 6G: A survey

Unmanned Aerial Vehicles (UAVs) have received a wide range of attention for military and commercial applications. Enhanced with communication capability, UAVs are considered to play important roles in the Sixth Generation (6G) networks due to their low cost and flexible deployment. 6G is supposed to be an all-coverage network to provide ubiquitous connections for space, air, ground and underwater. UAVs are able to provide air-borne wireless coverage flexibly, serving as aerial base stations for ground users, as relays to connect isolated nodes, or as mobile users in cellular networks. However, the onboard energy of small UAVs is extremely limited. Thus, UAVs can be only deployed to establish wireless links temporarily. Prolonging the lifetime and developing green UAV communication with low power consumption becomes a critical challenge. In this article, a comprehensive survey on green UAV communications for 6G is carried out. Specifically, the typical UAVs and their energy consumption models are introduced. Then, the typical trends of green UAV communications are provided. In addition, the typical applications of UAVs and their green designs are discussed. Finally, several promising techniques and open research issues are also pointed out.     

遥感卫星多路数据传输系统同频共用方法

为节省频率资源，遥感卫星通常采用扩频体制实现多路数据的同频共用传输，针对通道间容易引起相互干扰的问题进行了研究，通过改进码分多址干扰估算模型，对采用平衡Gold码序列扩频系统抗干扰容限上界进行预测。在满足国际电信联盟（ITU）对卫星辐射功率通量密度约束条件下，提出了一种基于直接序列扩频体制的两路业务数据同频共用传输方法。仿真结果表明：当载波频率2GHz左右，两路辐射源的EIRP之差不大于8～15dBw时可以实现同频共用传输；如对信号扩频带宽进行差异化处理，则其相互兼容性还可进一步提高。     

主动全向声纳浮标性能预测

主动声纳浮标适合探测安静型潜艇,预测主动声纳浮标的性能已成为航空反潜战的重要内容。文章首先简要分析了水声传播模型、海底和海面损失模型以及混响模型等声纳模型的优劣并进行合理选择；在此基础上,提出了一种主动全向声纳浮标性能预测系统的总体方案,并设计了相应软件；最后,针对不同的海洋环境进行仿真实验。该系统能预测主动声纳浮标在各传播方向、水平距离和深度的传播损失及检测概率,可以用于分析浮标性能的时空变化特性,为优化使用声纳浮标提供参考。     

城市建筑室内外无缝应急救援定位技术

应急救援定位技术的发展关系到救援人员和受害人员的生命安全。首先，对应急定位与普适定位进行了对比，总结了应急定位的主要特征，阐述了应急定位系统的精度、连续性等技术指标。之后，分析了不同传感器在应急场景下的可用性，对相应传感器在应急定位领域中的融合和应用进行了综述。最后，围绕坐标基准、知识图谱、多源协同、智能控制四项关键技术架构室内外无缝应急救援定位系统，总结了构建流程。其中，坐标基准将室内和室外、相对定位和绝对定位统一，而知识图谱综合权威发布信息和灾害场景信息进行决策，不仅可以辅助多源融合中传感器的选择、传感器无缝切换以及故障传感器隔离，还能协调智能控制中救援设备的调度、救援设备之间和救援设备与人员之间的协同定位。     

Contributions to data transmission at critical moments on unmanned aerial vehicles

As for unmanned aircraft, the knowledge of the aircraft performance is directly related with the navigation, guidance, and control system programming. Therefore, the measured data in each phase of the flight must be sufficiently precise to obtain a good characterization of aircraft. This article proposes new methods of sending information to ground, which make it possible to know the aircraft behavior accurately, and for this purpose, four contributions have been made for ALO (Avión Ligero de Observación, Spanish acronym for Light Observation Aircraft). Currently, the characterization is based on data obtained at ten samples per second, insufficient to acquire detailed knowledge of what happened during the whole flight of an aircraft. As a result of these contributions, many more samples per second of accelerations and angular velocities are obtained at the most critical moments of the flight, such as takeoff or landing. Among the improvements included are data compression techniques, providing references to locate the measured data in time and identifying labels of each parameter.     

通信导航融合定位技术发展综述

详细分析了蓝牙、Wi-Fi、超宽带、移动通信网络等多种无线网络通信导航融合定位技术的发展现状，并阐述了其面临的挑战，提出了多网融合方法可以提升室内无缝高精度位置服务的可靠性。利用5G移动通信网络，与北斗/GNSS卫星导航系统结合，可以实现相互增强。最后，从天地一体定位导航与授时体系和仿生通信定位导航两方面介绍了通信导航融合定位技术的未来发展趋势。     

复合材料整流罩声学等效建模与低频隔声性能研究

运载火箭发射过程中的恶劣噪声环境会导致整流罩内部电子设备失效。开展整流罩的内声场环境预测以及隔声分析,对其降噪研究和优化设计具有重要意义。复合材料整流罩舱壁大量使用蜂窝夹芯板,基于蜂窝夹芯结构精细化模型开展整流罩内声场环境预示计算量大,无法适用。本文建立了复合材料蜂窝夹芯板的力/声学等效模型,并利用精细化模型验证等效模型的精度;进一步基于有限元-边界元方法对某整流罩结构进行低频声振分析;同时,对整流罩的隔声量进行了评价。结果表明:整流罩内声场在频率为160 Hz附近声学环境较为恶劣,整流罩的降噪研究应针对该频段进行。