Air- and space-borne radar sensors are of high interest for reconnaissance and surveillance of ground scenes, since they can operate irrespective of weather conditions and time of day. An important observation task is the imaging of the ground, which can be accomplished by means of synthetic aperture radar (SAR) methods. Inherent to the SAR processing, moving objects in the observed scene are imaged at incorrect positions and can appear in a smeared fashion. These artifacts can hamper the interpretation of the imaged scene, since they imitate objects that do not exist at the indicated position, and might even mask stationary objects of interest. Modern SAR systems employ sensor arrays which allow to discriminate echoes from stationary and non-stationary scatterers that exhibit different characteristics in joint space-time domain. This motivates to perform an appropriate filtering on the received multichannel data to attenuate the undesired moving target signal contributions while maintaining the fixed scene echoes.
Outline of the talk:
In the talk a short introduction to the general problem of moving target artifacts in SAR images is provided first. Assuming a multichannel SAR system operating in stripmap mode, the underlying signal model is defined and analyzed. Based on this considerations the basic idea of a joint filtering in joint space-frequency domain is sketched, and a specific filter design is presented. Finally, the proposed approach is verified by processing different experimental data sets.
Florian Schulz received the Dipl.-Ing. degree and the Dr.-Ing. degree, both in electrical engineering from the Ruhr-Universität Bochum, Bochum, Germany, in 2001 and 2006, respectively. From 2001 to 2005, he was a Member of a Research Staff in the Signal Theory Group, Department of Electrical Engineering and Information Sciences, Ruhr-Universität Bochum. In 2002, he joined the NATO SACLANT Undersea Research Centre, La Spezia, Italy, as a Summer Research Assistant. From 2005 to 2009, he was a Research Associate at the FGAN Institute for High Frequency Physics and Radar Techniques, Wachtberg-Werthhoven, Germany. Since 2009, he has been with Atlas Elektronik GmbH, Bremen, Germany. Dr. Schulz is IEEE Member and joining the IEEE Signal Processing Society and IEEE Oceanic Engineering Society. He has recently been nominated as a local liaison of the European Association for Signal Processing (EURASIP). His research interests are in the areas of statistical signal processing and array signal processing with applications in underwater acoustics, radar, and communication.