New Methods and Processing Algorithms for Passive Radar Imaging

无源雷达成像新方法和处理算法

• 批准号: 410851921
• 负责人: Dr.-Ing. Holger Nies, since 10/2022
• 金额: --
• 依托单位: Zentrum für Sensorsysteme (ZESS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/410851921?language=en
• 关键词: New; Methods; Processing; Algorithms; Passive

Besides the traditional remote sensing based on Synthetic Aperture Radar (SAR) satellites which deliver high resolution and well georeferenced images from the Earth’s surface there is a big need for continuous observation of small local areas which cannot be satisfied by the current satellite programs. In contrast to the afore mentioned monostatic satellite missions, bistatic configurations employing satellites of opportunity as illuminators and locally separated stationary (passive) receivers observing the local scene of interest feature some attractive benefits like moderate costs and short repeat intervals. In this project we will analyze different kinds of passive radar systems using signal sources with diverse properties enabling radar imaging and its applications.The diversity of transmitters in passive radar imaging can lead this unique technique to a wider application area so that it is important to have a full view of different possible satellites, as the applicants propose in this project proposal. The cooperation will make full use of the previous research work from the Sino/German research institutes and the joint research progress will yield new solutions introducing novel key techniques in passive radar imaging This joint Sino/German project proposal aims at exploiting the ubiquitously available microwave signals of communication and GNSS satellites as well as ground-based DVB-T stations as “illumination” for novel kinds of passive Radar imaging purposes utilizing earth bound stationary or moving, cost efficient passive single or multichannel receivers. In order to achieve this novel image generation algorithms, including compressive sensing approaches will be investigated, designed and implemented.

除了基于合成孔径雷达（SAR）卫星的传统遥感（可从地球表面提供高分辨率和良好地理参考图像）之外，还需要对小局部区域进行连续观测，而当前的卫星计划无法满足这一需求。与上述单基地卫星任务相比，双基地配置采用机会卫星作为照明器和局部分离的固定（无源）接收器来观察当地感兴趣的场景，具有一些有吸引力的优点，例如适中的成本和短的重复间隔。在这个项目中，我们将分析不同类型的无源雷达系统，使用具有不同特性的信号源来实现雷达成像及其应用。无源雷达成像中发射机的多样性可以使这种独特的技术走向更广泛的应用领域，因此，正如申请人在本项目提案中提出的那样，全面了解不同可能的卫星非常重要。此次合作将充分利用中德研究机构之前的研究工作，联合研究进展将产生新的解决方案，引入无源雷达成像的新型关键技术。中德联合项目提案旨在利用通信和GNSS卫星以及地面DVB-T站的普遍可用的微波信号作为利用地球的新型无源雷达成像目的的“照明” 绑定固定或移动、经济高效的无源单通道或多通道接收器。为了实现这种新颖的图像生成算法，包括压缩传感方法，我们将进行研究、设计和实现。