Every year, up to four signal processing researchers are elevated to "EURASIP Fellows" by the European Association for Signal Processing (EURASIP) . It is the highest honor awarded by the association and has only been bestowed on five researchers in Germany since it was first awarded in 2007. Prof. Martin Haardt is being honored in particular for his achievements in the fields of wireless multiple-input multiple-output (MIMO) communication systems with multiple participants and tensor-based signal processing. In recognition of his outstanding achievements in this field, he was als also elevated to IEEE Fellow in 2018 by the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.
MIMO communication systems describe communication with multiple antennas on the transmitting and receiving side and are used in mobile communications, for example. Prof. Martin Haardt was one of the first scientists in the world to work on what is known as general MIMO downlink beamforming for multiple subscribers. This describes how different radio signals from the network are distributed simultaneously to several end devices on the same transmission frequency. His comprehensive approach led to a paradigm shift that advanced the field of multi-user MIMO communication. He is considered a turning point in the realization of MIMO communication systems, achieving system optimality with linear and thus relatively simple spatial pre-processing, known as precoding, and traditional coding.
In addition, Prof. Martin Haardt developed efficient tensor-based signal processing algorithms for multidimensional high-resolution parameter estimation, data fusion and various other multidimensional signal processing tasks. They are used, for example, to analyze biomedical data or for wireless communication and radar applications, which play an important role in driver assistance systems.
At EUSIPCO 2024 in Lyon, Prof. Haardt will moderate and chair a special session on "Tensor-Based Signal Processing for Wireless Communications and Sensing" organized jointly with André L. F. de Almeida from the Universidade Federal do Ceará in Brazil. Research work from the department on the topics of "Efficient Channel Training protocol for channel estimation in double RIS-aided MIMO systems" and "Deep Learning Compressed Sensing-Based Channel Estimation for Massive MISO Systems" will also be presented.
