New Methods and Processing Algorithms for Passive Radar Imaging

除了传统的基于合成孔径雷达（SAR）卫星的遥感技术可以提供高分辨率和良好的地球表面地理参考图像外，还需要对小区域的连续观测，这是当前卫星方案无法满足的。与上述单站卫星任务相比，双站配置采用机会卫星作为照明器和局部分离的固定（被动）接收器观察感兴趣的局部场景，具有一些吸引人的优点，如成本适中和重复间隔短。在这个项目中，我们将分析不同类型的无源雷达系统，使用具有不同属性的信号源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一独特技术得到更广泛的应用领域，因此，正如申请人在本项目建议书中所建议的那样，全面了解不同可能的卫星是很重要的。此次合作将充分利用中德两国科研机构已有的研究成果，联合研究进展将产生新的解决方案，引入新的无源雷达成像关键技术。中德联合项目提案旨在利用通信和GNSS卫星以及地面DVB-T站无处不在的微波信号作为“照明”，利用地球边界实现新型无源雷达成像目的固定的或移动的，低成本的无源单通道或多通道接收机。为了实现这种新的图像生成算法，包括压缩感知方法将被研究、设计和实现。

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.