Interference mitigation in satellite communications

卫星充当中继站，是全球通信基础设施的重要组成部分。它们用于通信、定位、遥感、民用和/或军事应用，如数字视频广播(DVB)、高清晰度视频、业余无线电通信、宽带互联网、天气预报、环境监测、全球导航卫星系统(GNSS)等。卫星通信(SatCom)系统对射频干扰(RFI)非常敏感。快速的技术发展将继续降低进入太空的门槛，增加太空竞技场上的玩家数量。这一事实，再加上对卫星通信带宽日益增长的渴求，将不可避免地导致RFI的急剧增加。不幸的是，由于RFI的来源和原因多种多样，RFI对研究人员、运营商和制造商来说是一个具有挑战性的问题。Avio-601项目旨在开发一个探测、测量和缓解RFI的技术框架，以解决卫星链路干扰问题，并提高卫星通信系统的全球稳健性。该项目的主要战略目标是开发新的认知系统体系结构和数字信号处理技术来检测、定位、表征和抑制卫星通信网络中的射频干扰，并通过实现概念验证硬件/软件原型来证明其在现实世界中的可行性。另一个目标是开发一个RFI地图集平台，即一个关于RFI来源、特征和位置的完整数据库，将由RFI测量和监测模块实时更新。该项目还将研究利用可重新配置天线作为在射频硬件一级减少射频干扰的手段的潜力。Avio-601项目团队将由16名学生和3名专业人员组成。拟议的研究计划将为培训高素质的创新架构和新概念人员提供平台，这些概念包括自适应滤波、消隐、信号认证、加密、自适应均衡、自适应天线波束和资源管理、零位调整等。

Satellites act as relay stations and form a critical part of the world-wide communications infrastructure. They are used for communications, positioning, remote sensing, in civil and/or military applications such as Digital Video Broadcasting (DVB), high-definition video, amateur radio communications, broadband Internet, weather forecasting, environment surveillance, Global Navigation Satellite Systems (GNSS), etc. Satellite Communications (SatCom) systems are sensitive to Radio Frequency Interference (RFI). The rapid rate of technological developments will continue to lower the entry barrier for space, increasing the number of players in the space arena. This fact, in combination with the ever-increasing thirst for satellite communications bandwidth, will inevitably lead to a dramatic increase in RFI. Unfortunately, because of RFI's variety of sources and causes, RFI is a challenging problem for researchers, operators and manufacturers. The AVIO-601 project aims to develop a technical framework for the detection, measurement and mitigation of RFI to resolve satellite link interference issues and increase the global robustness of SatCom systems. The main strategic goal of this project is to develop novel cognitive system architectures and digital signal processing techniques to detect, localize, characterize and suppress RFI in SatCom networks and to demonstrate their feasibility in real world situations through implementation of a proof-of-concept hardware/software prototype. An additional objective is to develop an RFI atlas platform, that is, a complete database of RFI sources, characteristics, and locations that will be updated in real-time by an RFI measurement and monitoring module. The project will also study the potential of using reconfigurable antennas as a means to reduce RFI at the radiofrequency hardware level. The AVIO-601 project team will consist of 16 students, and 3 professionals. The proposed research program will provide a platform for the training of highly-qualified personnel in innovative architectures and new concepts of adaptive filtering, blanking, signal authentication, encryption, adaptive equalization, adaptive antenna beams and resource management, null steering, etc.