Project Sector 2
Optimal Signal Processing - Data Fusion, Remote Sensing - SAR
International Postgraduate Programme
ZESS
 

Research

Berg bei Markdorf - 3D Höhenmodell

Being an integral part of the Center for Sensor Systems (ZESS), we deal with all kinds of Signal Processing, Stochastic Modelling, Estimation and Control in theory and applications. Kalman Filtering Theory, Multi-Sensor- Data-Fusion, Synthetic Aperture Radar (SAR) Processing as well as SAR Interferometry are very important fields of our daily work. Combining estimation and signal theory we deal with linear and nonlinear Kalman Filtering Algorithms for Phase-, Frequency-, and Amplitude demodulation purposes, Phase Unwrapping for SAR Interferometry, parameter estimation for SAR processing applications. A further thrilling application of nonlinear Kalman filtering coming up very soon is Data Fusing for optimal Spark Ignition Engine Control.