Dr Mehrdad Yaghoobi, Institute for Digital Communications (IDCOM), University of Edinburgh
Tue 26 Apr 2016, 13:00 - 13:30
AGB seminar room

If you have a question about this talk, please contact: Iman Tavakkolnia (s1371647)

Abstract: The problem of calibrating Synthetic Aperture Radar (SAR) data for 3D image formation will be discussed in this talk. A source of errors in modern radar systems is inaccurate range estimations, during the data collection. This is caused by two ambiguities in the platform location and the scene topography map. Such range estimation errors induce some asynchronization in the dechirping process, i.e. a shift in the range direction. When such an error is small, the final image will be blurred and possibly compensated using conventional autofocus techniques. In multipass SAR image formation, this error between the passes is large and we need a different machinery to correct it.

A formulation for the problem of SAR pulse compression with the range estimation error, in a general setting, will be presented in this talk. The range estimation error appears as some structured phase error in the phase history. A new phase recovery technique for compensating the phase error will be introduced.

Biography: Mehrdad Yaghoobi obtained his Phd in 2010 from the University of Edinburgh and he is now a PDRA at the same university, working under the UDRC. His interests are in the theoretical signal processing, low-dimensional signal modelling for sensing and imaging and big-data optimisation.