Signal processing and imaging#
The core competency »Signal Processing and Imaging« focuses on the development and derivation of suitable and optimal signal processing methods for stationary, airborne and space-based radar systems. These highly complex algorithms are modified to suit a wide variety of radar types and applications. The algorithms for multi-channel radar systems play an important role are these are/will be used to a growing extent in current and future systems. Radar systems can be divided into several classes, whereby the imaging radar systems at Fraunhofer FHR are of great significance. The institute plays a pioneering role in the areas of highest resolution SAR, interferometric SAR, bi- and multi-static SAR, MIMO-SAR (Multiple-Input Multiple-Output) and the imaging of moving objects (ISAR, inverse SAR). With regard to research in the field of surveillance radar, Fraunhofer FHR is also a global leader in the areas of moving target indication (MTI) and interference suppression. Fraunhofer FHR is also involved in the field of passive radar and ranks among the world leaders in the detection of small aircraft (UL, ultra-light) using PCL technology (Passive Coherent Location). Moreover, is a global initiator and trendsetter in several areas, e.g. in the field of compressive sensing (CS) for radar as well as in the field of space time adaptive processing (STAP).
The work conducted by FHR in the field of multi-channel airborne radar and SAR systems is characterized by extremely high scientific standards. In this area, FHR successfully combined the competence in adaptive array signal processing which was acquired over many years with its competence in the area of imaging radar. The space time signal models and the derived algorithms not only require high mathematical standards but also a connection to the practical engineering environment. The work conducted by FHR in this area was published in books and recognized and honored on numerous occasions at an international level.